Combined Enhancement Algorithm Based on Muti-Scale Analysis

Wei Guo Yuan; Song Wang

doi:10.4028/www.scientific.net/AMR.756-759.3215

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Combined Enhancement Algorithm Based on Muti-Scale...

Combined Enhancement Algorithm Based on Muti-Scale Analysis

Abstract:

Based on combinations of wavelet and curvelet transforms, an adaptive combined enhancement algorithm (ACEA) was proposed to solve the problems of the conventional method for image enhancement based on wavelet transform that the enhancement of edges whose contrast was same but angles were different was greatly different. The algorithm uses the wavelet transform to enhancement homogeneous areas and the curvelet transform to enhancement areas with edges. Simulation experiment results demonstrated that the algorithm got better cross entropy and CORR, improved effectively the effect of edge enhancement with good visual effect.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3215-3219

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3215

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Online since:

September 2013

Authors:

Wei Guo Yuan, Song Wang

Keywords:

Curvelet Transform, Muti-Scale Analysis, Wavelet Transform (WT)

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