Image Compression using Polynomial Coding Techniques: A review

Abstract

Compression solves the two serious issues of size and transmission efficiently, and various standard techniques are available, such as GIF, JPEG, MPEG, and MP3, in which these techniques combine efficiency, ease of use, and speed with the ability to fulfill a variety of requirements, but there's always a necessity and demand for new innovative techniques to improve the digital realm. Polynomial coding is one of the simple promising compression techniques of modeling base that composed of deterministic part (coefficients) and probabilistic part (residual) to represent image information compactly, there are many models were developed to improve the discipline of this technique performance, where This paper review focused on researchers' efforts to compress grayscale and color images using linear and non-linear lossless and lossy techniques.

Adaptive Pixel-Based Technique for Grayscale Image Compression

“…However, a significant issue arises due to the large file sizes associated with these images, which can impact device storage and network bandwidth (Salman and Rafea, 2020;Shihab, 2023;Mohammed et al, 2021). Image compression systems aim to address this problem by efficiently preserving image information while eliminating unnecessary redundancy found among neighboring pixels (Abouali, 2013; Ahmed et al, 2020;Hussain et al, 2020;Mahdi and Al-khafaji, 2022). In addition, using Internet applications has become necessary, meaningful, and indispensable, as most things are currently managed via the Internet.…”