Color Image Compression Algorithm Based on the DCT Blocks
This is an incremental improvement for image processing applications, offering better compression with reduced distortion.
The paper tackled color image compression by applying DCT to YCbCr components and classifying blocks as edge or non-edge for adaptive compression, resulting in less distorted images with higher compression factors.
This paper presents the performance of different blockbased discrete cosine transform (DCT) algorithms for compressing color image. In this RGB component of color image are converted to YCbCr before DCT transform is applied. Y is luminance component;Cb and Cr are chrominance components of the image. The modification of the image data is done based on the classification of image blocks to edge blocks and non-edge blocks, then the edge block of the image is compressed with low compression and the nonedge blocks is compressed with high compression. The analysis results have indicated that the performance of the suggested method is much better, where the constructed images are less distorted and compressed with higher factor.