Context-Based Statistical Model For Dct-Based Image Coder

: DCT is known as the sub-optimal transform and is widely adopted in the international technique standards of image compression currently. However, there is still considerable potential in DCTbased compression schemes. This paper applies the context method to DCT blocks and designs a context-based statistical model, by which we can make further use of the statistical correlation between the DCT coefficients. The implementation turns out to be so convenient, and the experimental results are very effective. 1. INTRODUCTION The discrete cosine transform (DCT) is the core technique of almost all the image compression standards currently. However, the mainstream of the research on image compression has shifted from the DCT to the wavelet transform. In fact, since Shapiro published his now famous embedded zerotree wavelet coder in 1993 [1], a class of improved algorithms based on wavelet and zerotree has emerged and turned out to be a great break-through of image compression technology [2]...