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isp-pipeline's Introduction

本程序使用pyton初步实现了从DNG格式的raw图像到正常彩色图像的isp处理流程，其中有许多待优化的地方。
整个流程为：BLC->AWB->BNR->LSC->Demosaic->NR->CCM->Gamma->Sharpness......

LSC:网格矫正法
Dmeosaic：使用线性插值法
BNR/NR：高斯滤波、双边滤波、均值滤波
WB：灰色世界法、完美反射法、动态阈值法
CCM：使用Colorcheck 24色卡，灯箱6500K左右色温拍摄，非线性优化方法求解sensor RGB -> CIE XYZ 的颜色矫正矩阵CCM，再CIE XYZ -> sRGB，只实现了单色温，未考虑多色温。
Sharpness: 原图边缘加权融合

问题：仍然存在许多噪声，图像清晰度不足，颜色饱和度...需要进一步调试

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