Title
Undersampled boundary pre-/postfilters for low bit-rate DCT-based block coders.
Abstract
It has been well established that critically sampled boundary pre-/postfiltering operators can improve the coding efficiency and mitigate blocking artifacts in traditional discrete cosine transform-based block coders at low bit rates. In these systems, both the prefilter and the postfilter are square matrices. This paper proposes to use undersampled boundary pre- and postfiltering modules, where the pre-/postfilters are rectangular matrices. Specifically, the prefilter is a "fat" matrix, while the postfilter is a "tall" one. In this way, the size of the prefiltered image is smaller than that of the original input image, which leads to improved compression performance and reduced computational complexities at low bit rates. The design and VLSI-friendly implementation of the undersampled pre-/postfilters are derived. Their relations to lapped transforms and filter banks are also presented. Two design examples are also included to demonstrate the validity of the theory. Furthermore, image coding results indicate that the proposed undersampled pre-/postfiltering systems yield excellent and stable performance in low bit-rate image coding.
Year
DOI
Venue
2007
10.1109/TIP.2006.888344
IEEE Transactions on Image Processing
Keywords
Field
DocType
coding efficiency,prefiltered image,low bit-rate image coding,interpolation,postfiltering module,index terms—discrete cosine transform dct,downsampling,undersampled pre,low bit-rate dct-based block,pre-/postfiltering,undersampled boundary pre,boundary pre,low bit rate,low bit-rate coding,undersampled.,original input image,pre-/postpro- cessing,proposed undersampled pre,indexing terms,discrete cosine transform,computational complexity,block codes,lapped transform,transform coding,filter bank,square matrices
Signal processing,Algorithmic efficiency,Pattern recognition,Filter bank,Discrete cosine transform,Block code,Transform coding,Image processing,Artificial intelligence,Upsampling,Mathematics
Journal
Volume
Issue
ISSN
16
2
1057-7149
Citations 
PageRank 
References 
7
0.67
18
Authors
5
Name
Order
Citations
PageRank
Lu Gan132425.46
Chengjie Tu2768.46
Jie Liang370780.89
T. D. Tran417920.04
Kai-Kuang Ma52309180.29