3D- Discrete Cosine Transform For Image Compression

Abstract

Image compression addresses the problem of reducing the amount of data required to represent a digital image called the redundant data. The underlying basis of the reduction process is the removal of redundant data. The redundancy used here is pschychovisual redundancy. 3D-DCT video compression algorithm takes a full-motion digital video stream and divides it into groups of 8 frames. Each group of 8 frames is considered as a three-dimensional image, which includes 2 spatial components and one temporal component. Each frame in the image is divided into 8x8 blocks (like JPEG), forming 8x8x8 cubes. Each 8x8x8 cube is then independently encoded using the 3D-DCT algorithm: 3D-DCT, Quantizer, and Entropy encoder. A 3D DCT is made up of a set of 8 frames at a time. Image compression is one of the processes in image processing which minimizes the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space.

Keywords: 2D DCT, 3D DCT, JPEG, GIF, CR