Image Coding Research Based on Integer DCT
基于整型DCT变换的图象编码研究

In this paper the authors present a novel integer reversible DCT based embedded image coding scheme, which can integrate lossy and lossless coding schemes perfectly. Image coding is of great interest in applications where efficiency with respect to data storage or transmission bandwidth is sought. The discrete cosine transform(DCT) has been applied extensively to the area of image coding. It has nice decorrelation and excellent energy compaction properties and it can be easily implemented by hardware. In this paper the integer DCT transform is implemented by factoring the float DCT transform matrix into integer reversible transform series. Then the authors apply the series of matrices to image samples, and encode the coefficients by several effective coding algorithms. The simulation results illustrate that the integer DCT coding scheme is superior to the float DCT coding method in lossless coding, and the coding performance of integer DCT is close to that of float DCT in lossy coding.