DocumentCode
2154737
Title
Prediction of discrete cosine transformed coefficients in resized pixel blocks
Author
Li, Jin ; Chen, Weiwei ; Gabbouj, Moncef ; Takala, Jarmo ; Chen, Hexin
Author_Institution
Tampere Univ. of Technol., Tampere, Finland
fYear
2011
fDate
22-27 May 2011
Firstpage
1045
Lastpage
1048
Abstract
A hybrid model was developed to predict the zero quantized discrete cosine transform (ZQDCT) coefficients for intra blocks in our previous work. However, the complicated overhead computations seriously degrade its performance in complexity reduction. This paper proposes a new prediction algorithm with less overhead operations. First, each N × N pixel block at the input of transform is resized to a N/2 × N/2 block. Then, this downsized block is decomposed into a mean value and a residual pixel block. Finally, the N × N 2-D DCT is computed from the mean value and this residual pixel block. Experimental results show that the proposed method reduces more redundant computations than the competing techniques and better real-time performance can be expected. This is particularly suitable for low-power processors with video sequences or great number of images to encode.
Keywords
computational complexity; discrete cosine transforms; image enhancement; image sequences; low-power electronics; video coding; 2D DCT; ZQDCT coefficient prediction; complexity reduction; downsized block; low-power processor; resized pixel blocks; video coding; video sequences; zero-quantized discrete cosine transform coefficient prediction; Bit rate; Complexity theory; Computational modeling; Discrete cosine transforms; PSNR; Pixel; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946586
Filename
5946586
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