A new hybrid jpeg image compression scheme using symbol reduction technique

TL;DR

This paper introduces a hybrid JPEG compression scheme that combines the standard JPEG process with a symbol reduction Huffman technique, achieving approximately 20% higher compression ratios.

Contribution

The paper proposes a novel hybrid compression method that integrates symbol reduction Huffman coding with JPEG to improve compression efficiency.

Findings

Achieves about 20% higher compression ratio than standard JPEG.

The symbol reduction technique simplifies Huffman coding.

The method is simple, fast, and easy to implement.

Abstract

Lossy JPEG compression is a widely used compression technique. Normally the JPEG standard technique uses three process mapping reduces interpixel redundancy, quantization, which is lossy process and entropy encoding, which is considered lossless process. In this paper, a new technique has been proposed by combining the JPEG algorithm and Symbol Reduction Huffman technique for achieving more compression ratio. The symbols reduction technique reduces the number of symbols by combining together to form a new symbol. As a result of this technique the number of Huffman code to be generated also reduced. It is simple fast and easy to implement. The result shows that the performance of standard JPEG method can be improved by proposed method. This hybrid approach achieves about 20% more compression ratio than the Standard JPEG.