International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 2 | Year 2013 | Article Id. IJCTT-V4I2P113 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I2P113

A Color Image Compression Using Pixel Correlation and Its Comparison with Existing Algorithms

Navrisham Kaur

Citation :

Navrisham Kaur, "A Color Image Compression Using Pixel Correlation and Its Comparison with Existing Algorithms," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 2, pp. 120-123, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I2P113

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.

Keywords

Discrete Cosine Transform (DCT), JPEG, Compression Ratio, Huffman Coding, Arithmetic Coding.

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