finish SaturationCorrection and pass simulation
This commit is contained in:
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7833c3a7b5
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@ -17,14 +17,15 @@ module SaturationCorrection #(
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input wire in_receive,
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input wire enable,
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input wire [8:0] saturation_inc
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input wire signed [31:0] saturation_inc
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);
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reg [2:0] state, nextState;
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localparam reg [2:0] READ_DATA = 0;
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localparam reg [2:0] CALC_DATA = 1;
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localparam reg [2:0] SEND_DATA = 2;
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reg [15:0] data_cal[3];
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reg signed [31:0] data_cal[3], data_cache[3];
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wire signed [31:0] max, min, delta, value, light, saturation, alpha;
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always @(posedge clk or posedge reset) begin
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if (reset) state <= READ_DATA;
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@ -43,19 +44,21 @@ module SaturationCorrection #(
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assign out_ready = (!in_en && state == READ_DATA) ? 1 : 0;
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assign out_receive = (in_en && state == READ_DATA) ? 1 : 0;
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assign max = data_cal[0] > data_cal[1]?
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(data_cal[0] > data_cal[2] ? data_cal[0] : data_cal[2]):
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(data_cal[1] > data_cal[2] ? data_cal[1] : data_cal[2]);
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assign min = data_cal[0] < data_cal[1]?
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(data_cal[0] < data_cal[2] ? data_cal[0] : data_cal[2]):
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(data_cal[1] < data_cal[2] ? data_cal[1] : data_cal[2]);
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assign max = data_cache[0] > data_cache[1]?
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(data_cache[0] > data_cache[2] ? data_cache[0] : data_cache[2]):
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(data_cache[1] > data_cache[2] ? data_cache[1] : data_cache[2]);
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assign min = data_cache[0] < data_cache[1]?
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(data_cache[0] < data_cache[2] ? data_cache[0] : data_cache[2]):
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(data_cache[1] < data_cache[2] ? data_cache[1] : data_cache[2]);
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assign delta = max - min;
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assign value = max + min;
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assign light = value >> 1;
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assign saturation = (delta << 8) / max;
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assign light = value >>> 1;
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// assign saturation = (light <= 128) ? (delta <<< 8) / value : (delta <<< 8) / (512 - value);
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assign saturation = (delta <<< 8) / max;
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assign alpha = (saturation_inc[31] == 0)
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? ((saturation_inc + saturation >= 256)
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? (65536 / saturation) - 256 : (65536 / (256 - saturation_inc)) - 256)
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: (saturation_inc);
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always @(posedge clk or posedge reset) begin
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if (reset) begin
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@ -67,24 +70,45 @@ module SaturationCorrection #(
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data_cal[0] <= 0;
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data_cal[1] <= 0;
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data_cal[2] <= 0;
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data_cache[0] <= 0;
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data_cache[1] <= 0;
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data_cache[2] <= 0;
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end else begin
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case (state)
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READ_DATA: begin
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if (in_en) begin
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data_cache[0] <= {24'b0, in_data[0]};
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data_cache[1] <= {24'b0, in_data[1]};
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data_cache[2] <= {24'b0, in_data[2]};
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end
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end
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CALC_DATA: begin
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if (enable) begin
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if (saturation_inc[31] == 0) begin
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data_cal[0] <= (data_cache[0] << 8) + ((data_cache[0] - light) * alpha);
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data_cal[1] <= (data_cache[1] << 8) + ((data_cache[1] - light) * alpha);
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data_cal[2] <= (data_cache[2] << 8) + ((data_cache[2] - light) * alpha);
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end else begin
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data_cal[0] <= (light << 8) + (data_cache[0] - light) * (256 + alpha);
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data_cal[1] <= (light << 8) + (data_cache[1] - light) * (256 + alpha);
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data_cal[2] <= (light << 8) + (data_cache[2] - light) * (256 + alpha);
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end
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end
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end
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SEND_DATA: begin
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if (in_ready) begin
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out_en <= 1;
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if (enable && delta != 0) begin
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out_data[0] <= (data_cal[0] <= 65535) ? (data_cal[0] > 0 ? data_cal[0][15:8] : 0) : 255;
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out_data[1] <= (data_cal[1] <= 65535) ? (data_cal[1] > 1 ? data_cal[1][15:8] : 1) : 255;
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out_data[2] <= (data_cal[2] <= 65535) ? (data_cal[2] > 2 ? data_cal[2][15:8] : 2) : 255;
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end else begin
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out_data[0] <= data_cache[0][7:0];
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out_data[1] <= data_cache[1][7:0];
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out_data[2] <= data_cache[2][7:0];
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end
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end else out_en <= 0;
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end
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@ -0,0 +1,94 @@
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`timescale 1ns / 1ps
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// 三通道图像合成一个RGB图像
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module WhiteBalance #(
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parameter reg [4:0] IN_DEPTH = 12, // 输入图像的色深
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parameter reg [4:0] OUT_DEPTH = 8, // 输出图像的色深
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parameter reg [8:0] BUFF_SIZE = 32
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) (
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input wire clk,
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input wire reset,
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input wire in_en,
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input wire [15:0] in_data[3], // 0:R 1:G 2:B
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output wire out_ready,
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output wire out_receive,
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// 输出相关
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input wire in_ready,
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input wire in_receive,
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output reg out_en,
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output reg [OUT_DEPTH - 1:0] out_data[3]
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);
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localparam reg [2:0] READ_DATA = 0;
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localparam reg [2:0] CALC_DATA = 1;
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localparam reg [2:0] SATI_DATA = 2;
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localparam reg [2:0] SEND_DATA = 3;
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reg [2:0] state, nextState;
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reg [BUFF_SIZE - 1:0] data_cal[3]; // 用于保存运算结果,防止溢出
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always @(posedge clk or posedge reset) begin
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if (reset) begin
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state <= READ_DATA;
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end else begin
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state <= nextState;
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end
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end
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always @(*) begin
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case (state)
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READ_DATA: nextState = (in_en) ? CALC_DATA : READ_DATA;
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CALC_DATA: nextState = SATI_DATA;
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SATI_DATA: nextState = SEND_DATA;
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SEND_DATA: nextState = (in_receive) ? READ_DATA : SEND_DATA;
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default: nextState = READ_DATA;
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endcase
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end
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assign out_ready = (!in_en && state == READ_DATA) ? 1 : 0;
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assign out_receive = (in_en && state == READ_DATA) ? 1 : 0;
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always @(posedge clk or posedge reset) begin
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if (reset) begin
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// 初始化
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data_cal[0] <= 0;
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data_cal[1] <= 0;
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data_cal[2] <= 0;
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out_data[0] <= 0;
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out_data[1] <= 0;
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out_data[2] <= 0;
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out_en <= 0;
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end else begin
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case (state)
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READ_DATA: begin
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if (in_en) begin
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end
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end
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CALC_DATA: begin
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if (enable) begin
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end
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end
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SATI_DATA: begin
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end
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SEND_DATA: begin
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if (in_ready && !in_receive) begin
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out_en <= 1;
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end else out_en <= 0;
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end
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default: ;
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endcase
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end
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end
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endmodule
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36
isp.v
36
isp.v
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@ -5,7 +5,7 @@ module isp #(
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parameter reg [15:0] IN_HEIGHT = 1088,
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parameter reg [15:0] OUT_WIDTH = 1920,
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parameter reg [15:0] OUT_HEIGHT = 1080,
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parameter reg [ 4:0] COLOR_DEPTH = 8,
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parameter reg [ 4:0] COLOR_DEPTH = 8, // Can't Change!!!
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parameter reg [ 1:0] RAW_TYPE = 3 // 0:grbg 1:rggb 2:bggr 3:gbrg
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) (
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// 基本信号
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@ -33,7 +33,11 @@ module isp #(
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// Gamma矫正,低八位为小数位
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// input wire [7:0] gamma_inverse,
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input wire [7:0] gamma_table [256],
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input wire gamma_enable
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input wire gamma_enable,
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// 饱和度校正
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input wire signed [31:0] saturation_inc,
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input wire saturation_enable // -256~256
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);
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localparam reg [15:0] BAYER_WIDTH = IN_WIDTH - 2;
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localparam reg [15:0] BAYER_HEIGHT = IN_HEIGHT - 2;
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@ -45,6 +49,10 @@ module isp #(
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wire gamma_en, gamma_ready, gamma_receive;
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wire [COLOR_DEPTH - 1 : 0] gamma_data[3];
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// 饱和度校正
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wire saturation_en, saturation_ready, saturation_receive;
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wire [COLOR_DEPTH - 1 : 0] saturation_data[3];
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// 任意比例缩放图像
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wire crop_en, crop_ready, crop_receive; // scaler 请求数据
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reg [COLOR_DEPTH - 1:0] crop_data[3];
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.out_ready(gamma_ready),
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.out_receive(gamma_receive),
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.in_ready(saturation_ready),
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.in_receive(saturation_receive),
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.out_en(saturation_en),
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.out_data(saturation_data),
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.gamma_table(gamma_table),
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.enable(gamma_enable)
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);
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SaturationCorrection #(
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.COLOR_DEPTH(COLOR_DEPTH)
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) inst_saturation (
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.clk (clk),
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.reset (reset),
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.in_en(saturation_en),
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.out_ready(saturation_ready),
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.out_receive(saturation_receive),
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.in_data(saturation_data),
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.in_ready(crop_ready),
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.in_receive(crop_receive),
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.out_en(crop_en),
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.out_data(crop_data),
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.gamma_table(gamma_table),
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.enable(gamma_enable)
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.saturation_inc(saturation_inc),
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.enable(saturation_enable)
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);
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Crop #(
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108
sim/sc_main.cpp
108
sim/sc_main.cpp
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@ -36,7 +36,7 @@ struct color_gain {
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} color_gain{1.1, 0.7, 1.3};
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static const double gamma_value = 2.2;
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static const double saturation_inc = -0.5;
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static const double saturation_inc = 0.5;
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using namespace sc_core;
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using namespace sc_dt;
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@ -217,6 +217,9 @@ int sc_main(int argc, char* argv[]) {
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sc_signal<uint32_t> gamma_inverse;
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sc_signal<uint32_t> gamma_table[256];
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sc_signal<bool> saturation_enable;
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sc_signal<uint32_t> saturation_increase;
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sc_signal<bool> flag_done;
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// Construct the Verilated model, from inside Visp.h
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@ -246,6 +249,9 @@ int sc_main(int argc, char* argv[]) {
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isp->gamma_enable(gamma_enable);
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// isp->gamma_inverse(gamma_inverse);
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isp->saturation_enable(saturation_enable);
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isp->saturation_inc(saturation_increase);
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blender_enable = true; // enable color correction
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gain_red = (uint32_t)(color_gain.red * std::pow(2, 8));
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gain_green = (uint32_t)(color_gain.green * std::pow(2, 8));
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@ -259,6 +265,11 @@ int sc_main(int argc, char* argv[]) {
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gamma_table[i] = (uint32_t)(255 * pow(i / 255.0, 1.0 / gamma_value));
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}
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saturation_enable = true;
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saturation_increase =
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(int32_t)((saturation_inc >= 0) ? (saturation_inc * std::pow(2, 8))
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: (saturation_inc * std::pow(2, 8)));
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// Construct testbench module
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TB_ISP tb_isp("tb_isp");
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tb_isp.clk(clk);
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@ -321,17 +332,10 @@ int sc_main(int argc, char* argv[]) {
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tfp = nullptr;
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}
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// Save output image
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std::cout << "Ready to save raw RGB image" << std::endl;
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// for (int y = 0; y < OUT_HEIGHT; y++)
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// for(int x = 0; x < OUT_WIDTH; x++)
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// out_image.write((const char *)&tb_isp.out[y * OUT_WIDTH + x],
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// sizeof(tb_isp.out[0]));
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// out_image.close();
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// save to image
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uint8_t* data =
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new uint8_t[OUT_WIDTH * OUT_HEIGHT * 3]; // RGB24格式像素数据
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// software algorthms analyze
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for (int32_t y = 0; y < OUT_HEIGHT; ++y) {
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for (int32_t x = 0; x < OUT_WIDTH; ++x) {
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int32_t index = (y * OUT_WIDTH + x) * 3;
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@ -348,46 +352,68 @@ int sc_main(int argc, char* argv[]) {
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// Adjust white balance
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// Adjust vibrance
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uint8_t max = std::max({red, green, blue});
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uint8_t min = std::min({red, green, blue});
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double delta = (max - min) / 255.0;
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double value = (max + min) / 255.0;
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if (delta != 0) {
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double L = value / 2.0;
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// double S = (L <= 0.5) ? delta / value : delta / (2 - value);
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double S = delta / max;
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double alpha = 0.0;
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if (saturation_inc >= 0) {
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if ((saturation_inc + S) >= 1)
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alpha = S;
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else
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alpha = 1 - saturation_inc;
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alpha = 1 / alpha - 1;
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red = static_cast<uchar>(red + (red - L * 255) * alpha);
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green =
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static_cast<uchar>(green + (green - L * 255) * alpha);
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blue = static_cast<uchar>(blue + (blue - L * 255) * alpha);
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} else {
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alpha = saturation_inc;
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red = static_cast<uchar>(L * 255 +
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(red - L * 255) * (1 + alpha));
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green = static_cast<uchar>(L * 255 +
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(green - L * 255) * (1 + alpha));
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blue = static_cast<uchar>(L * 255 +
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(blue - L * 255) * (1 + alpha));
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// uint8_t max = std::max({red, green, blue});
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// uint8_t min = std::min({red, green, blue});
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// double delta = (max - min) / 255.0;
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// double value = (max + min) / 255.0;
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// if (delta != 0) {
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// double L = value / 2.0;
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// // double S = (L <= 0.5) ? delta / value : delta / (2 -
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// value); double S = delta / max; double alpha = 0.0; if
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// (saturation_inc >= 0) {
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// if ((saturation_inc + S) >= 1)
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// alpha = S;
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// else
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// alpha = 1 - saturation_inc;
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// alpha = 1 / alpha - 1;
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// red = static_cast<uchar>(red + (red - L * 255) * alpha);
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// green =
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// static_cast<uchar>(green + (green - L * 255) *
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// alpha);
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// blue = static_cast<uchar>(blue + (blue - L * 255) *
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// alpha);
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// } else {
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// alpha = saturation_inc;
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// red = static_cast<uchar>(L * 255 +
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// (red - L * 255) * (1 + alpha));
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// green = static_cast<uchar>(L * 255 +
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// (green - L * 255) * (1 +
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// alpha));
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// blue = static_cast<uchar>(L * 255 +
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// (blue - L * 255) * (1 +
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// alpha));
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// }
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// }
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data[index + 0] = red; // R
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data[index + 1] = green; // G
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data[index + 2] = blue; // B
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}
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}
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// Save output image
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std::cout << "Ready to save raw RGB image" << std::endl;
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// for (int y = 0; y < OUT_HEIGHT; y++)
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// for(int x = 0; x < OUT_WIDTH; x++)
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// out_image.write((const char *)&tb_isp.out[y * OUT_WIDTH + x],
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// sizeof(tb_isp.out[0]));
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// out_image.close();
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// save to image
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for (int32_t y = 0; y < OUT_HEIGHT; ++y) {
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for (int32_t x = 0; x < OUT_WIDTH; ++x) {
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int32_t index = (y * OUT_WIDTH + x) * 3;
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uint8_t red = data[index + 0];
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uint8_t green = data[index + 1];
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uint8_t blue = data[index + 2];
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out_image.write((const char*)&red, sizeof(red));
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out_image.write((const char*)&green, sizeof(green));
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out_image.write((const char*)&blue, sizeof(blue));
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printf("x=%4d, y=%4d, red=0x%02x, green=0x%02x, blue=0x%02x\n", x,
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y, red, green, blue);
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data[index + 0] = red; // R
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data[index + 1] = green; // G
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data[index + 2] = blue; // B
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}
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}
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