Jpeg Image Compression Using Discrete Cosine Transform - A Survey

TL;DR

This survey reviews JPEG image compression using Discrete Cosine Transform, highlighting its components and importance for efficient image transmission and storage in digital environments.

Contribution

It provides a comprehensive overview of JPEG compression algorithm and its components, emphasizing its role in lossy image compression.

Findings

JPEG is widely used for full-color image compression.

Discrete Cosine Transform is central to JPEG's effectiveness.

The survey details all components of the JPEG algorithm.

Abstract

Due to the increasing requirements for transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. When we compute the number of bits per image resulting from typical sampling rates and quantization methods, we find that Image compression is needed. Therefore development of efficient techniques for image compression has become necessary .This paper is a survey for lossy image compression using Discrete Cosine Transform, it covers JPEG compression algorithm which is used for full-colour still image applications and describes all the components of it.