[1]SHAO Zhentian,YUAN Jie.An image deblocking algorithm based on curvelet transformation[J].CAAI Transactions on Intelligent Systems,2012,7(2):102-107.
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An image deblocking algorithm based on curvelet transformation

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 2 Page number: 102-107 Column: 学术论文—机器感知与模式识别 Public date: 2012-04-25
Title:
An image deblocking algorithm based on curvelet transformation
Author(s):
SHAO Zhentian;  YUAN Jie
School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Keywords:
deblocking algorithm;  curvelet transform;  image recovery;  multiscale analysis; image processing
CLC:
TP18
DOI:
-
Abstract:
The image block effect is caused by quantification processing of coefficients when using discrete cosine transformation (DCT) to compress coding of images. DCT dumps some frequencies, leading to discontinuous leaps of subblock boundaries. An image deblocking algorithm based on curvelet transformation was proposed. This algorithm first carried out curvelet transformation of degraded images, then processed the obtained curvelet coefficients separately layer by layer, so as to recover the images. The coefficients corresponding to the block effect of the original image could be found for every layer, proving that different methods apply to different layers. Then new coefficient matrixes were calculated, using the images which were reconstructed. Experiments show that the algorithm retains more details and generates better recovery results than the traditional spatial domain and wavelet deblocking methods which are used commonly for both subjective and objective evaluations. 
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