IMAGE COMPRESSION USING WAVELET TRANSFORM

Image Compression is a computer graphics application, which is used in Internet, digital library and photography, mobile communication and multimedia. Image Compression is a technique, which is used to reduce the volume of information that is transmitted about an image. It can be lossless compression or lossy compression. It can be used to reduce duplicity, computational time, cost of image and quality of image. There are many image compression techniques such as JPEG, JPEG 2000, DCT, DWT, Wavelet, Huffman Coding, Quantization, Lossy Compression Or Lossless Compression. In this paper we will introduce the best image compression technique and provide many benefits over the others. It uses large variety of wavelets to decomposition of images and coding techniques are used like EZW & SPIHT and embedded block coding techniques use the wavelet convert basic and collective steps. In this paper we use different wavelets to complete a transform of test image and result to be discussed & analyzed.