块匹配法运动估计恢复视频matlab代码
时间: 2023-06-25 12:02:23 浏览: 61
以下是基于块匹配法的运动估计恢复视频的MATLAB代码:
```
clc;
clear all;
close all;
% 读取视频
video = VideoReader('test_video.mp4');
numFrames = video.NumberOfFrames;
% 定义块大小和搜索范围
blockSize = 16;
searchRange = 16;
% 初始化运动向量和帧差
motionVectors = zeros(numFrames-1,2);
frameDiff = zeros(video.Height,video.Width,numFrames-1);
% 遍历每一帧
for i = 1:numFrames-1
% 读取当前帧和下一帧
currFrame = read(video,i);
nextFrame = read(video,i+1);
% 将帧转换为灰度图像
currFrameGray = rgb2gray(currFrame);
nextFrameGray = rgb2gray(nextFrame);
% 计算帧差
frameDiff(:,:,i) = abs(double(currFrameGray) - double(nextFrameGray));
% 遍历当前帧的每个块
for m = 1:blockSize:video.Height-blockSize+1
for n = 1:blockSize:video.Width-blockSize+1
% 获取当前块
currBlock = currFrameGray(m:m+blockSize-1,n:n+blockSize-1);
% 初始化最小误差和最小误差对应的运动向量
minError = 1e10;
motionVector = [0 0];
% 遍历搜索范围内的块
for p = max(1,m-searchRange):min(video.Height-blockSize+1,m+searchRange)
for q = max(1,n-searchRange):min(video.Width-blockSize+1,n+searchRange)
% 获取搜索范围内的块
searchBlock = nextFrameGray(p:p+blockSize-1,q:q+blockSize-1);
% 计算块间误差
error = sum(sum(abs(currBlock - searchBlock)));
% 如果当前误差小于最小误差,则更新最小误差和对应的运动向量
if error < minError
minError = error;
motionVector = [p-m q-n];
end
end
end
% 将当前块的运动向量添加到运动向量矩阵中
motionVectors(i,:) = motionVector;
end
end
% 在当前帧上绘制运动向量
[X,Y] = meshgrid(1:blockSize:video.Width-blockSize+1,1:blockSize:video.Height-blockSize+1);
quiver(X,Y,motionVectors(i,2)*ones(size(X)),motionVectors(i,1)*ones(size(Y)),0,'r');
drawnow;
end
% 重建视频
reconstructedVideo = zeros(video.Height,video.Width,numFrames);
reconstructedVideo(:,:,1) = read(video,1);
for i = 2:numFrames
% 获取当前帧
currFrame = read(video,i);
currFrameGray = rgb2gray(currFrame);
% 重建当前帧
reconstructedFrame = zeros(video.Height,video.Width);
for m = 1:blockSize:video.Height-blockSize+1
for n = 1:blockSize:video.Width-blockSize+1
% 获取当前块的运动向量
motionVector = motionVectors(i-1,:);
% 计算当前块的位置
x = n+motionVector(2);
y = m+motionVector(1);
% 如果当前块的位置超出图像边界,则使用上一帧的块
if x < 1 || x+blockSize-1 > video.Width || y < 1 || y+blockSize-1 > video.Height
reconstructedBlock = currFrameGray(m:m+blockSize-1,n:n+blockSize-1);
else
reconstructedBlock = currFrameGray(y:y+blockSize-1,x:x+blockSize-1);
end
% 将重建的块添加到重建的帧中
reconstructedFrame(m:m+blockSize-1,n:n+blockSize-1) = reconstructedBlock;
end
end
% 将重建的帧添加到重建的视频中
reconstructedVideo(:,:,i) = uint8(reconstructedFrame);
end
% 播放原始视频和重建视频
figure;
subplot(1,2,1);
implay('test_video.mp4');
title('原始视频');
subplot(1,2,2);
implay(reconstructedVideo);
title('重建视频');
```
需要注意的是,该代码仅用于演示块匹配法的运动估计和视频重建过程。在实际应用中,还需要考虑更多的优化方法,如运动向量的预测、多帧运动估计等。
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