A Color Image Compression Using Pixel Correlation and Its Comparison with Existing Algorithms
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-2 | ||
| Year of Publication : 2013 | ||
| Authors :Navrisham Kaur. |
Navrisham Kaur."A Color Image Compression Using Pixel Correlation and Its Comparison with Existing Algorithms"International Journal of Computer Trends and Technology (IJCTT),V4(2):120-123 Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: -Image compression is a widely addressed researched area. Many compression standards are in place. But still here there is a scope for high compression with quality reconstruction. The JPEG standard makes use of Discrete Cosine Transform (DCT) for compression. In this paper, it presents the new method use of DCT that is image compression using pixel correlation and its comparison with existing algorithms. Image reconstruction without any loss with high compression ratio has to be defined in this context. This algorithm is used only JPEG color images. In this R, G and B 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. It takes three different images in different size for comparison with the Huffman coding and Arithmetic Coding. Results are analyzed on the basis of compression ratio.
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Keywords—Discrete Cosine Transform (DCT), JPEG, Compression Ratio, Huffman Coding, Arithmetic Coding.