Developed JPEG Algorithm Applied in Image Compression

Author:

Hussain Abdullah A.,AL-Khafaji Ghadah K.,Siddeq Mohammed M.

Abstract

Abstract JPEG is most popular image compression and encoding, this technique is widely used in many applications (images, videos and 3D animations). Meanwhile, researchers are very interested to develop this massive technique to compress images at higher compression ratios with keeping image quality as much as possible. For this reason in this paper we introduce a developed JPEG based on fast DCT and removed most of zeros and keeps their positions in a transformed block. Additionally, arithmetic coding applied rather than Huffman coding. The results showed up, the proposed developed JPEG algorithm has better image quality than traditional JPEG techniques.

Publisher

IOP Publishing

Subject

General Medicine

Reference26 articles.

1. Optimum zigzag scan mapping method on FPGA device;Candra,2016

2. Comparative performance evaluation of SVD-based image compression;Yeganegi,2018

3. Analysis of image compression algorithm using DCT;Gupta;International Journal of Engineering Research and Applications (IJERA),2012

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