抽象的な

PERFORMANCE ANALYSIS OF IMAGE COMPRESSION USING DISCRETE COSINE TRANSFORM WITH VARIOUS DISCRETE WAVELET TRANSFORMS

Harish Jindal , Danvir Mandal

Image compression is a widely discovered area of research & application. Many compression techniques have been developed including few mixed methods. The Discrete Cosine Transform (DCT) is one of the widely used compression method. Also the Discrete Wavelet Transform (DWT) provides substantial improvements in picture quality due to its multi resolution nature. Application of both methods together for image compression can provide a sustained Peak Signal to Noise Ratio (PSNR) along with a better overall compression ratio. This paper aims at the analysis of Color Image compression using DCT and DWT for better PSNR & Compression ratio. A comparative study of performance of DCT & different discrete wavelets is made in terms of Peak signal-to-noise ratio (PSNR), Mean Square Error (MSE) and overall Compression Ratio to illustrate the effectiveness of this method in Image compression. Extensive analysis has been carried out before arrival at the conclusion