MATLAB的HEVC帧内预测程序代码
时间: 2023-07-30 13:04:18 浏览: 215
帧内预测matlab程序
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以下是一个简单的MATLAB代码示例,用于实现HEVC的帧内预测:
```matlab
function [predBlock] = intra_predict(image, blockSize, row, col, mode)
% image: 输入图像
% blockSize: 块大小
% row, col: 当前块的起始行和列
% mode: 帧内预测模式
% 获取参考像素
switch(mode)
case 0 % 模式0:DC预测
refBlock = image(row:blockSize + row - 1, col:blockSize + col - 1);
p = mean2(refBlock);
predBlock = ones(blockSize, blockSize) * p;
case 1 % 模式1:水平预测
refBlock = image(row:blockSize + row - 1, col - 1);
predBlock = repmat(refBlock, [1, blockSize]);
case 2 % 模式2:垂直预测
refBlock = image(row - 1, col:blockSize + col - 1);
predBlock = repmat(refBlock, [blockSize, 1]);
case 3 % 模式3:左上角预测
refBlock = image(row - 1, col - 1);
predBlock = ones(blockSize, blockSize) * refBlock;
case 4 % 模式4:右上角预测
refBlock = image(row - 1, col + blockSize);
predBlock = ones(blockSize, blockSize) * refBlock;
case 5 % 模式5:左下角预测
refBlock = image(row + blockSize, col - 1);
predBlock = ones(blockSize, blockSize) * refBlock;
case 6 % 模式6:垂直右下预测
refBlock1 = image(row - 1, col + blockSize);
refBlock2 = image(row - 2, col + blockSize);
refBlock3 = image(row - 3, col + blockSize);
refBlock4 = image(row - 4, col + blockSize);
refBlock5 = image(row - 5, col + blockSize);
refBlock6 = image(row - 6, col + blockSize);
refBlock7 = image(row - 7, col + blockSize);
refBlock = (refBlock1 + 2 * refBlock2 + 3 * refBlock3 + 4 * refBlock4 + 5 * refBlock5 + 6 * refBlock6 + 7 * refBlock7 + 8) / 16;
predBlock = ones(blockSize, blockSize) * refBlock;
case 7 % 模式7:水平右下预测
refBlock1 = image(row + blockSize, col - 1);
refBlock2 = image(row + blockSize, col - 2);
refBlock3 = image(row + blockSize, col - 3);
refBlock4 = image(row + blockSize, col - 4);
refBlock5 = image(row + blockSize, col - 5);
refBlock6 = image(row + blockSize, col - 6);
refBlock7 = image(row + blockSize, col - 7);
refBlock = (refBlock1 + 2 * refBlock2 + 3 * refBlock3 + 4 * refBlock4 + 5 * refBlock5 + 6 * refBlock6 + 7 * refBlock7 + 8) / 16;
predBlock = ones(blockSize, blockSize) * refBlock;
end
end
```
请注意,此代码仅实现了HEVC的帧内预测的一些基本模式,可能需要根据您的特定需求进行更改和优化。
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