A Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication

Image compression should save storage space while preserving the image's quality information. Due to the significance of compression, different approaches, and methods to store and transmit pictures across the networks have been periodically developed. Wireless networks are largely utilized as channels for the transmission and reception of multimedia files, including pictures, sounds, and movies. We have examined the performance of three commonly used transform-based image compression approaches using Discrete Cosine Transform, Discrete Wavelet Transform, and Discrete Sine Transform in terms of Peak Signal-to-Noise Ratio and Mean Square Error when transferring pictures via wireless channels. This paper introduces a consistent quantization table and DST as a tweak to the widespread JPEG compression approach. Comparisons are made between the proposed approach and current standards, and its performance is evaluated.