A Comparative Study: Block Truncation Coding, Wavelet, Embedded Zerotree and Fractal Image Compression on Color Image

We undertake a study of the performance difference of different transform coding techniques i.e. block truncation coding (BTC), wavelet, embedded zerotree transform and fractal image compression. This paper focuses important features of transform coding in compression of still images, including the extent to which the quality of image is degraded by the process of compression and decompression. The above techniques have been successfully used in many applications. The techniques are compared by using the performance parameters PSNR, CR and reduced size. Images obtained with those techniques yield very good results. Out of these techniques BTC and wavelet are symmetrical compression techniques, EZW and fractal are asymmetrical compression techniques. Symmetrical compression means encode time and decode time are same and almost negligible while in asymmetrical encode and decode time is different and it lake lot of seconds to compress the image.