A REVIEW ON IMAGE COMPRESSION TECHNIQUES

AISWARYA M; JWALA JOSE; SRITHA S

A REVIEW ON IMAGE COMPRESSION TECHNIQUES

Authors: AISWARYA M, JWALA JOSE, SRITHA S

Unique Paper ID: 171106
Volume: 11
Issue: 7
PageNo: 2737-2741

Keywords: Image Compression Lossless Compression Lossy Compression JPEG JPEG2000 Deep Learning Compression Ratio Computational Efficiency

Abstract:
The need for efficient image compression has become increasingly important due to the proliferation of image data in various applications such as digital photography, medical imaging, and web-based applications. This paper explores the most commonly used image compression techniques, comparing their performance in terms of compression ratio, quality, and computational complexity. The paper focuses on both lossless and lossy compression algorithms, including JPEG, JPEG2000, PNG, and newer approaches using deep learning. We also analyze the trade-offs between compression efficiency and computational overhead. Finally, we propose future research directions in image compression.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 7
PageNo: 2737-2741

A REVIEW ON IMAGE COMPRESSION TECHNIQUES

Available:https://ijirt.org/Article?manuscript=171106

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UGC Approved
Journal no 47859

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