Performance Improvement of Image Compression Method using Hybridization of Lossy and Lossless Method

Image compression is the application of compression data .It is the technique used to reduce the redundancies in data representation in order to decrease the data storage requirements, transmission speed and communication costs. Considering the important role played by digital image and video, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. In this paper comparative analysis of image compression is done by three transform methods, which are Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) & Hybrid (DCT+DWT) Transform. An image compression algorithm is comprehended using MATLAB code MATLAB programs were written for each of the above method and concluded based on the results obtained that hybrid SVD-DWT-DCT algorithm performs much better than the standalone JPEG-based DCT, DWT algorithms in terms of peak signal to noise ratio (PSNR), as well as visual perception at higher compression ratio.