DCT(Discrete Cosine Transform) transforming coding has been widely used coding-standards such as JPEG
MPEG and H.26x exclusive of JPEG2000 at present. The compressing codings for image/video signals have been advanced to a new stage since the EZW(Embedded Zerotree Wavelet) had been introduced by Shapiro and the SPIHT(Set partition in hierarchical trees) applied by Said et al
which are a competitive challenge against the conventional DCT's coding. However
DCT's coefficients have a similar multiresolutional attributes after reorganization its datum like wavelet transforming. There are many excellent performances in the based-DCT such as arbitrarily shaped DCT
region support DCT and morphological representation of DCT coefficients are proposed.Digital watermarking
image resizing and pattern cognition can be done through utilizing DCT's coefficients
and so on.The capability and performance of the DCT have further been promoted to a higher phase. For instance
object-based coding for DCT is a promising technique for next-generation coding.Besides
the experiments show that MR-DCT(Morphological representation of DCT) is among the state-of-the-art DCT-based image coders reported in the literature.What mentioned above have been studied and analyzed deeply in this paper.Hereby