1. Remote Sensing Image Enhancement Method Based on Multi-scale Retinex
- Author
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Xu Zhonglin, Yang Guang, Li Dejun, Wu Henan, and Yuan Yuwei
- Subjects
Image fusion ,Shadow and highlight enhancement ,Color constancy ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Wavelet transform ,Pattern recognition ,Image enhancement ,Panchromatic film ,Wavelet ,Entropy (information theory) ,Computer vision ,Artificial intelligence ,business ,Remote sensing - Abstract
In order to improve the effectiveness of remote sensing image enhancement, an enhancement algorithm based on multi-scale Retinex was presented and which can make up the deficiency of traditional wavelet algorithm that losing part information when image enhancement. The principle and realization methods of multi-scale Retinex and wavelet were calculated. The experiment of panchromatic and multicolor remote sensing image enhancement were carried out based on the two methods, the result showed that: the mean valve of enhanced image by this algorithm is about 125, the entropy and definition can be increased by 5% and 25% compared with wavelet algorithm, and remote sensing images could get better enhancement quality, so multi-scale Retinex is a better method for sensing image enhancement.
- Published
- 2011
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