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
Link To Document :
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