Title :
Spatial-temporal decorrelation for image/video coding
Author :
Wang, Miaohui ; Ngan, King Ngi ; Xu, Long
Author_Institution :
Dept. of Electr. Eng., Chinese Univ. of Hongkong, Hong Kong, China
Abstract :
Modern image/video compression techniques greatly help to store and transmit digital images and video data. Discrete wavelet transform is used in JPEG2000 because of its scalability and tolerable degradation. In H.264/AVC, predictive coding is employed to remove spatial redundancy before discrete cosine transform. In this paper, we propose a new encoder structure combining both advantages from JPEG2000 [1] and H.264/AVC [2], which firstly utilizes the proposed spatial transform to decompose a single image into several sub-images and then employs motion compensation to convert the conventional spatial decorrelation into temporal decorrelation. Experimental results show that our proposed method outperforms the state-of-the-art image coding algorithms and achieves better rate-distortion performance.
Keywords :
data compression; discrete cosine transforms; discrete wavelet transforms; image coding; motion compensation; video coding; H.264-AVC; JPEG2000; digital images; discrete cosine transform; discrete wavelet transform; encoder structure; image-video coding; image-video compression techniques; motion compensation; rate-distortion performance; spatial decorrelation; spatial transform; spatial-temporal decorrelation; temporal decorrelation; video data; Correlation; Decorrelation; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Transform coding; Discrete cosine transform(DCT); Discrete wavelet transform(DWT); Image/video coding; Spatial-temporal decorrelation;
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
DOI :
10.1109/PCS.2012.6213327