以下为Verilog代码实现双线性插值算法:

module bilinear_interpolation( input clk, input [7:0] in_pixel, // 8-bit gray scale input pixel output reg [7:0] out_pixel, // 8-bit gray scale output pixel output reg [9:0] out_row, // 10-bit output row address output reg [9:0] out_col // 10-bit output column address );

// Constants parameter WIDTH_IN = 384; // Input image width parameter HEIGHT_IN = 288; // Input image height parameter WIDTH_OUT = 1024; // Output image width parameter HEIGHT_OUT = 768; // Output image height

// Variables reg [9:0] row_in, col_in; // Input row and column address reg [9:0] row_out, col_out; // Output row and column address reg [1:0] row_frac, col_frac; // Sub-pixel row and column fraction reg [7:0] pixel_tl, pixel_tr, pixel_bl, pixel_br; // 4 corner pixels for interpolation reg [7:0] pixel_t, pixel_b, pixel_l, pixel_r; // 4 edge pixels for interpolation reg [23:0] pixel_sum; // Interpolated pixel sum reg [7:0] pixel_out; // Interpolated output pixel

// Compute input row and column address always @(posedge clk) begin col_in <= col_in + 1; if (col_in >= WIDTH_IN) begin col_in <= 0; row_in <= row_in + 1; if (row_in >= HEIGHT_IN) begin row_in <= 0; end end end

// Compute output row and column address always @(posedge clk) begin col_out <= col_out + 1; if (col_out >= WIDTH_OUT) begin col_out <= 0; row_out <= row_out + 1; if (row_out >= HEIGHT_OUT) begin row_out <= 0; end end end

// Compute sub-pixel row and column fraction always @(posedge clk) begin row_frac <= (row_out * HEIGHT_IN - row_in * HEIGHT_OUT) % HEIGHT_OUT; col_frac <= (col_out * WIDTH_IN - col_in * WIDTH_OUT) % WIDTH_OUT; end

// Read 4 corner pixels for interpolation always @(posedge clk) begin pixel_tl <= in_pixel; pixel_tr <= in_pixel; pixel_bl <= in_pixel; pixel_br <= in_pixel; if (col_in < WIDTH_IN - 1) begin pixel_tr <= in_pixel; pixel_br <= in_pixel; end if (row_in < HEIGHT_IN - 1) begin pixel_bl <= in_pixel; pixel_br <= in_pixel; end end

// Read 4 edge pixels for interpolation always @(posedge clk) begin pixel_t <= pixel_tl + (pixel_tr - pixel_tl) * col_frac / WIDTH_OUT; pixel_b <= pixel_bl + (pixel_br - pixel_bl) * col_frac / WIDTH_OUT; pixel_l <= pixel_tl + (pixel_bl - pixel_tl) * row_frac / HEIGHT_OUT; pixel_r <= pixel_tr + (pixel_br - pixel_tr) * row_frac / HEIGHT_OUT; end

// Compute interpolated pixel sum always @(posedge clk) begin pixel_sum <= (pixel_t + pixel_b + pixel_l + pixel_r) / 4; end

// Output interpolated pixel always @(posedge clk) begin pixel_out <= pixel_sum[23:16]; end

// Assign outputs assign out_pixel = pixel_out; assign out_row = row_out; assign out_col = col_out;

endmodule

注意:此代码没有经过仿真和综合,可能需要根据具体情况进行调整和优化

请用Verilog语言实现可以综合的双线性插值算法将输入的384x288分辨率的灰度图像放大到1024x768大小384x288分辨率的灰度图像是一次输入一个像素

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