Design and Development of a Novel Algorithm for 4D Image Compression

Image compression addresses the problem of reducing the amount of data required to represent a digital image. The underlying basis of the reduction process is the removal of redundant data. 4D-DCT video compression is an extension of the 3D-DCT image compression. 3D-DCT video compression method is an extension of the 2D-DCT image compression (e.g., JPEG). This algorithm takes a full-motion digital video stream and divides it into 8 groups of 8 frames. Each frame in the image is divided into 8×8 blocks (like JPEG), forming 8×8×8×8 frames. Each of it is then independently encoded using the 4 D-DCT algorithms:4D-DCT and Quantizer. 4D-DCT video compression is as novel method of image compression which gives a compression ratio better than the existing 3D-DCT technique. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level and giving a better compression ratio in terms of performance. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the memory space required for images to be sent over the Internet or downloaded from Web pages or across the borders for military applications.