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An Efficient Image Compression Technique using 2D-DWT and FELICS Algorithm for Different Class of Images (COI)

Image compression has become an important process in today’s world of information exchange. Image compression helps in effective utilization of high speed network resources. In surveillance application, image compression has played vital role. Efforts are made to enhance image compression ratio by combination of lossy and lossless compression technique. Here in this system, first the image is compressed using lossy 2D-DWT technique and then it is further compressed using a VLSI oriented lossless FELICS algorithm. The 2D-DWT uses haar wavelet for lossy image compression. The FELICS algorithm uses simplified adjusted binary code and Golomb-Rice code with storage-less k parameter for lossless image compression. Here, three different techniques viz. FELICS, JPEG and the proposed technique having a combination of 2D-DWT and FELICS are used to compress a class of images (COI). Different authors have worked with image compression technique and have measured one or two image quality parameters. Here we have worked with seven different image quality parameters with different class of images. Here combination of lossy and lossless compression techniques is used to improve overall compression ratio.