@inproceedings {333,
	title = {Deblocking of block-transform compressed images using phase-adaptive shifted thresholding},
	booktitle = {IEEE International Symposium on Multimedia},
	year = {2008},
	abstract = {<p>Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression. Block-transform coding often introduces blocking artifacts which are particularly prevalent at low bit-rates due to quantization errors. A novel algorithm for deblocking block-transform compressed images is proposed in this paper. This algorithm is based on a phase-adaptive, shifted thresholding technique that estimates the original uncompressed image as the weighted sum of shifted versions of the decompressed image subjected to a threshold. An efficient integer transform is used to construct the shifted versions of the decompressed image. The aggregation weights are obtained adaptively using the local phase moment characteristics of the underlying image content. The proposed algorithm utilizes important human perceptual characteristics to provide effective image deblocking while preserving image detail. Experimental results show that the proposed algorithm is more efficient than comparable methods and yields both subjective results and peak signal-to-noise ratio (PSNR) results comparable to existing methods.</p>
},
	keywords = {aggregation weight, block-transform coding, block-transform image compression deblocking, data compression, human perceptual characteristics, image coding, image segmentation, integer transform, local phase moment, phase-adaptive shifted thresholding, quantisation (signal), quantization error, transforms},
	doi = {http://dx.doi.org/10.1109/ISM.2008.74},
	author = {A Wong and W Bishop}
}
@inproceedings {403,
	title = {Efficient deblocking of block-transform compressed images and video using shifted thresholding},
	booktitle = {IASTED International Conference on Signal and Image Processing},
	year = {2006},
	abstract = {<p>Image and video compression are active areas of research due to the increasing demand for efficient storage of visual data in a wide variety of fields. Popular image compression schemes are often based on block-transform coding. Block-transform coding is susceptible to blocking artifacts, particularly at low bit-rates due to quantization errors. This paper addresses this problem by presenting an algorithm based on shifted thresholding that reduces blocking artifacts in block-transform compressed images and video. The algorithm is designed to be hardware-efficient and well-suited for parallel hardware implementation, using purely integer computations without the need for integer division. Experimental results demonstrate good subjective quality improvements that are comparable with previous work while maintaining a low computational complexity.</p>
},
	keywords = {block-transform coding, Deblocking, shifted thresholding},
	author = {A Wong and W Bishop}
}
