Lossless image compression technique using Haar wavelet and vector transform

The field of Image processing make a high impact in the era of fast growing technology to increase or to satisfy the human comfort level. A single image may contain thousand times more information than a written text on piece of paper. But due to the advent of technology, number of image formats exists to provide strength to the image data like JPEG, Tiff, BMP, Gif etc. Due to this change in technology and the existence of these different formats, high resolution images are produced and require more memory for the purpose of storage. Even when we wants to communicate on the basis of these images through Internet for some purpose then the issue arises and affect the communication. To deal with this issue some compression mechanism is required. In case of Image procession we can either have lossless image compression or lossy image compression. In this paper a lossless technique of Image processing is proposed by considering Haar wavelet and Vector transform techniques. 97% compression percentage is achieved with the help to proposed method and when the results are compared with other techniques like Integer-to-Integer transform and Band-let image compression, low SNR (Signal to Noise Ratio) values and high RMSE values are achieved for the proposed system which shows its accurate behaviour.