satdump/src-core/common/image/bowtie.cpp

#include "bowtie.h"
#include <algorithm>

namespace image
{
    namespace bowtie
    {
        template <typename T>
        Image<T> correctGenericBowTie(Image<T> &inputImage, const int channelCount, const long scanHeight, const float alpha, const float beta)
        {
            // Compute everything we'll need
            const long height = inputImage.height();
            const long width = inputImage.width();
            const long scanCount = height / scanHeight;
            const long halfWidth = width / 2;

            // Create our output image
            Image<T> outputImage = Image<T>(width, height, channelCount);

            // Reserve our buffers
            T *scan_buffer_input = new T[height * width];
            T *scan_buffer_output = new T[height * width];
            T *col_buffer_input = new T[scanHeight];
            T *col_buffer_output = new T[scanHeight];

            for (int channel = 0; channel < channelCount; channel++)
            {
                for (int scanNumber = 0; scanNumber < scanCount; scanNumber++)
                {
                    //std::cout << "Processing scan " << scanNumber << std::endl;

                    // Load out input buffer
                    for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                    {
                        for (int pixelNumber = 0; pixelNumber < width; pixelNumber++)
                        {
                            scan_buffer_input[lineNumber * width + pixelNumber] = inputImage[(channel * width * height) + ((scanNumber * scanHeight) + lineNumber) * width + pixelNumber];
                        }
                    }

                    for (int rowNumber = 0; rowNumber < width; rowNumber++)
                    {
                        // Load our column
                        for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                        {
                            col_buffer_input[lineNumber] = scan_buffer_input[lineNumber * width + rowNumber];
                        }

                        int centerPixelCounts = int((((halfWidth - abs(rowNumber - halfWidth)) / (float)halfWidth) * alpha + beta) * scanHeight);
                        centerPixelCounts = std::min<int>(centerPixelCounts, scanHeight);

                        int paddingPixels = (scanHeight - centerPixelCounts) / 2;

                        //std::cout << pixelsOffCenter << " " << centerPixelCounts << " " << paddingPixels << std::endl;

                        for (int i = 0; i < scanHeight; i++)
                        {
                            col_buffer_output[i] = col_buffer_input[paddingPixels + int(((float)i / (float)scanHeight) * centerPixelCounts)];
                        }

                        // Offload our columm
                        for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                        {
                            scan_buffer_output[lineNumber * width + rowNumber] = col_buffer_output[lineNumber];
                        }
                    }

                    // Offload out output buffer
                    for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                    {
                        for (int pixelNumber = 0; pixelNumber < width; pixelNumber++)
                        {
                            outputImage[(channel * width * height) + ((scanNumber * scanHeight) + lineNumber) * width + pixelNumber] = scan_buffer_output[lineNumber * width + pixelNumber];
                        }
                    }
                }
            }

            delete[] scan_buffer_input;
            delete[] scan_buffer_output;
            delete[] col_buffer_input;
            delete[] col_buffer_output;

            return outputImage;
        }

        template Image<uint8_t> correctGenericBowTie(Image<uint8_t> &, const int, const long, const float, const float);
        template Image<uint16_t> correctGenericBowTie(Image<uint16_t> &, const int, const long, const float, const float);

        /*
        template <typename T>
        Image<T> correctSingleBowTie(Image<T> &inputImage, const int channelCount, const long scanHeight, const float alpha, const float beta)
        {
            // Compute everything we'll need
            const long height = inputImage.height();
            const long width = inputImage.width();
            const long scanCount = height / scanHeight;
            const long halfWidth = width / 2;

            // Create our output image
            Image<T> outputImage = Image<T>(width, height, 1, channelCount);

            // Reserve our buffers
            T *scan_buffer_input = new T[height * width];
            T *scan_buffer_output = new T[height * width];
            T *col_buffer_input = new T[scanHeight];
            T *col_buffer_output = new T[scanHeight];

            for (int channel = 0; channel < channelCount; channel++)
            {
                for (int scanNumber = 0; scanNumber < scanCount; scanNumber++)
                {
                    //std::cout << "Processing scan " << scanNumber << std::endl;

                    // Load out input buffer
                    for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                    {
                        for (int pixelNumber = 0; pixelNumber < width; pixelNumber++)
                        {
                            scan_buffer_input[lineNumber * width + pixelNumber] = inputImage[(channel * width * height) + ((scanNumber * scanHeight) + lineNumber) * width + pixelNumber];
                        }
                    }

                    for (int rowNumber = 0; rowNumber < width; rowNumber++)
                    {
                        // Load our column
                        for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                        {
                            col_buffer_input[lineNumber] = scan_buffer_input[lineNumber * width + rowNumber];
                        }

                        int topPixelCount = int((((halfWidth - abs(rowNumber - halfWidth)) / (float)halfWidth) * alpha + beta) * scanHeight);
                        topPixelCount = std::min<int>(topPixelCount, scanHeight);

                        for (int i = 0; i < scanHeight; i++)
                        {
                            col_buffer_output[i] = col_buffer_input[int(((float)i / (float)scanHeight) * topPixelCount)];
                        }

                        // Offload our columm
                        for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                        {
                            scan_buffer_output[lineNumber * width + rowNumber] = col_buffer_output[lineNumber];
                        }
                    }

                    // Offload out output buffer
                    for (int lineNumber = 0; lineNumber < scanHeight; lineNumber++)
                    {
                        for (int pixelNumber = 0; pixelNumber < width; pixelNumber++)
                        {
                            outputImage[(channel * width * height) + ((scanNumber * scanHeight) + lineNumber) * width + pixelNumber] = scan_buffer_output[lineNumber * width + pixelNumber];
                        }
                    }
                }
            }

            delete[] scan_buffer_input;
            delete[] scan_buffer_output;
            delete[] col_buffer_input;
            delete[] col_buffer_output;

            return outputImage;
        }

        template image::Image<uint8_t> correctSingleBowTie(image::Image<uint8_t> &, const int, const long, const float, const float);
        template image::Image<uint16_t> correctSingleBowTie(image::Image<uint16_t> &, const int, const long, const float, const float);
        */
    }
}