NON STANDARD SIZE IMAGE COMPRESSION WITH REVERSIBLE EMBEDDED WAVELETS

The rapid growth of digital imaging applications, including desktop publishing, multimedia, teleconferencing and high definition television, (HDTV) has increased the need of effective image processing. While processing any data, it requires large memory space for storage, which ultimately increases the transmission time. In order to save memory space and speed up the rate of transmission of data over networks, data compression is essential. Technically all image data Compressed into two groups as lossless and lossy. Some information is lost in the lossy compression, especially for radiological images. In this paper Non standard size still images are compressed by CREW using MATLAB. It uses a new form of wavelet transform technology. It is pyramidal (similar to hierarchical) and progressive by nature. From results it is observed that CREW provides higher compression ratio as compared to JPEG compression with same quality of image. The PSNR is also in acceptable range. The features make CREW an ideal choice for applications that require high quality and flexibility for multiple input and output environments, such as, medical imagery, fixed-rate and fixed-size applications.