如何使用Matlab从给定的yuv文件中提取Y,U和V分量?每个组件用于进一步的像素级操纵 [英] How to extract Y,U, and V components from a given yuv file using Matlab? Each component is used for further pixels level manipulation

查看:700
本文介绍了如何使用Matlab从给定的yuv文件中提取Y,U和V分量?每个组件用于进一步的像素级操纵的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

大家好.我目前正在使用YUV文件.您对如何从yuv视频中提取y,u,v分量有任何建议吗?我

Hey guys. I'm currently playing with YUV file. Do you have any suggestion on how to extract y,u,v components from a yuv video? I found a piece of program which was shown below. But I don't know which part is the valid components that I want. Thanks.

% function mov = loadFileYuv(fileName, width, height, idxFrame)

function [mov,imgRgb] = loadFileYuv(fileName, width, height, idxFrame)
% load RGB movie [0, 255] from YUV 4:2:0 file

fileId = fopen(fileName, 'r');

subSampleMat = [1, 1; 1, 1];
nrFrame = length(idxFrame);


for f = 1 : 1 : nrFrame

    % search fileId position
    sizeFrame = 1.5 * width * height;
    fseek(fileId, (idxFrame(f) - 1) * sizeFrame, 'bof');

    % read Y component
    buf = fread(fileId, width * height, 'uchar');
    imgYuv(:, :, 1) = reshape(buf, width, height).'; % reshape RESHAPE(X,M,N) returns the M-by-N matrix 
                                                     %whose elements are taken columnwise from X.  
                                                     %An error results if X does not have M*N elements

    % read U component
    buf = fread(fileId, width / 2 * height / 2, 'uchar');
    imgYuv(:, :, 2) = kron(reshape(buf, width / 2, height / 2).', subSampleMat); % reshape and upsample

    % read V component
    buf = fread(fileId, width / 2 * height / 2, 'uchar');
    imgYuv(:, :, 3) = kron(reshape(buf, width / 2, height / 2).', subSampleMat); % reshape and upsample

    % normalize YUV values
    % imgYuv = imgYuv / 255;

    % convert YUV to RGB
    imgRgb = reshape(convertYuvToRgb(reshape(imgYuv, height * width, 3)), height, width, 3);
    % imgRgb = ycbcr2rgb(imgYuv);
    %imwrite(imgRgb,'ActualBackground.bmp','bmp');
    mov(f) = im2frame(imgRgb);
    %   mov(f).cdata = uint8(imgRgb);
    %   mov(f).colormap =  [];
    %     imwrite(imgRgb,'ActualBackground.bmp','bmp');

    %figure, imshow(imgRgb);
    %name = 'ActualBackground.bmp';
    %Image = imread(name, 'bmp');
    %figure, imshow(Image);
end
fclose(fileId);

推荐答案

不确定我是否对YUV文件有一些基本的误解,但是如果您像下面那样编辑函数,则对于单个变量称为imgYUV.请注意,在此过程中您可能会用完内存,或者您不想一次性加载电影的所有帧.

Not sure whether I have some fundamental misunderstanding about YUV files, but if you edit the function like I did below, you have the YUV components for every frame in a single variable called imgYUV. Note that you may run out of memory in the process, you maybe you don't want to load all the frames of the movie in one go.

function imgYUV = loadFileYuv(fileName, width, height, idxFrame)
% load YUV data from YUV 4:2:0 file

fileId = fopen(fileName, 'r');

subSampleMat = [1, 1; 1, 1];
nrFrame = length(idxFrame);

%# preassign imgYUV. In case we can't keep everything in RAM,
%# it is better that the function crashes here, rather than after
%# having wasted time slowly filling up the memory.
%# Since the images are likely to be of class 'uint8', 
%# you can save on a lot of memory by initializing
%# imgYUV as zeros(width/2,height/2,3,nrFrame,'uint8');
imgYUV = zeros(width/2 height/2, 3, nrFrame);

for f = 1 : 1 : nrFrame

    %# search fileId position
    sizeFrame = 1.5 * width * height;
    fseek(fileId, (idxFrame(f) - 1) * sizeFrame, 'bof');

    %# read Y component
    buf = fread(fileId, width * height, 'uchar');
    imgYuv(:, :, 1, f) = reshape(buf, width, height).'; 

    %# read U component
    buf = fread(fileId, width / 2 * height / 2, 'uchar');
    imgYuv(:, :, 2, f) = kron(reshape(buf, width / 2, height / 2).', subSampleMat); % reshape and upsample

    % read V component
    buf = fread(fileId, width / 2 * height / 2, 'uchar');
    imgYuv(:, :, 3, f) = kron(reshape(buf, width / 2, height / 2).', subSampleMat); % reshape and upsample

end
fclose(fileId);

这篇关于如何使用Matlab从给定的yuv文件中提取Y,U和V分量?每个组件用于进一步的像素级操纵的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆