JPEG Image Compression by Applying Discrete Cosine Transform (DCT): A Review Paper

Abstract

The new research in the domain of image compression has increased dramatically due to the growing requirements for image transmission in computers and mobile environments. In digital image processing, image compression plays a crucial role and is also very critical for efficient image transmission and storage. We notice that image compression is necessary when we measure the number of bits per image resulting from standard sampling rates and quantization methods. The creation of effective image compression techniques has therefore become important.This paper provides a comprehensive survey on Discrete Cosine Transform (DCT) lossy image compression, which covers the JPEG compression algorithm used for full-color still image applications and explains all of its components.Image compression is one of the picture processing techniques. Image compression has many uses and plays an important role in transmitting and storing images efficiently. The goal of image compression is to reduce the redundancy of image data in order to store or transfer only a minimum number of samples.