Performance Analysis of Lossless and Lossy Image Compression Techniques for Human Object

摘要

Image compression is an important step in image transmission and storage. In order to have efficient utilization of disk space and transmission rate, images need to be compressed. The two standard compression technique are lossy and lossless image compression. Though there are many compression technique already available, a technique which is faster, memory efficient and simple surely suits the requirements of the user. In this work, the lossless method of image compression and decompression using a simple coding technique called Run-length coding is compared with Huffman coding and lossy compression technique using DCT (Discrete Cosine Transform) and FFT (Fast Fourier Transform) are compared with Haar wavelet transform. The experimental results are analysed to compare the performance of various compression techniques.