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Cheung-Ming Lai

dblp:25/1175 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video coding · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image compression
fractal image coding
0.012003
A fast fractal image coding based on kick-out and zero contrast conditions · IEEE Trans. Image Process. 2003
Image and video coding
image compression
0.012003
A fast fractal image coding based on kick-out and zero contrast conditions · IEEE Trans. Image Process. 2003

Methods — techniques the papers use, named apart from their topics

zero contrast prediction · 0.0kick-out condition · 0.0DCT inner product · 0.0
YearPublicationVenuePosition
2003 A fast fractal image coding based on kick-out and zero contrast conditions
abstract
A fast algorithm for fractal image coding based on a single kick-out condition and the zero contrast prediction is proposed in this paper. The single kick-out condition can avoid a large number of range-domain block matches when finding the best matched domain block. An efficient method for zero contrast prediction is also proposed, which can determine whether the contrast factor for a domain block is zero or not, and compute the corresponding difference between the range block and the transformed domain block efficiently and exactly. The proposed algorithm can achieve the same reconstructed image quality as the exhaustive search, and can greatly reduce the required computation or runtime. In addition, this algorithm does not need any pre-processing step or additional memory for its implementation, and can combine with other fast fractal algorithms to further improve the speed. Experimental results show that the runtime is reduced by about 50% of that of the exhaustive search method. When combined with the DCT Inner Product algorithm, the required runtime for the algorithm can be further reduced by about 50%. The proposed algorithm was also compared to two other fast fractal algorithms. Experimental results also show that our algorithm achieves a better efficiency and requires a much smaller amount of memory for implementation.
Cheung-Ming Lai, Kin-Man Lam 0001, Wan-Chi Siu
IEEE Trans. Image Process.1