Enhanced Data Reduction for Still Images by using Hybrid Compression Technique

This paper present an image compression technique that utilize embedded wavelet based image coding with two types of compression algorithms for further compression. There are many types for lossy image compression algorithms available out of which EZW and SPIHT algorithms which are two separate types of most significant compression techniques. EZW algorithm is depend on cumulative encoding in order to compress case image into a bit stream with high accuracy. Another efficient technique is SPIHT that utilized for image compression which based on the concept of coding set of wavelet coefficients as zero trees. The proposed hybrid image compression technique (HICT) that combined excellent features from each method, which then produce promising technique for still image compression, by reduce the number of bits required to represent the input image to the maximum extent possible, while maintaining the visual quality of the reconstructed image closer to the original image as much as possible. By using matlab software, the experimental results present that HICT improve the efficiency of image compression between 6.7 to 13.7 %, and yields better performance of measurement values.