吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 494-498.

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Multi-scale image enhancement algorithm based on illuminance partition

LI Ao, LI Yi-bing, LIU Dan-dan   

  1. College of Information and Comunication, Harbin Engineering University, Harbin 150001, China
  • Received:2010-12-21 Online:2012-03-01 Published:2012-03-01

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Abstract: In gaining the digital image, its dynamic range often produces linear compression, which leads to low image contrast. To solve this problem, a multi-scale enhancement algorithm based on illuminance partition is proposed. According to the Weber law, the algorithm divides the image into several regions with different illuminances and enhances these regions respectively. The regional enhancement is realized by the adaptive weight sum of differential image with different scales. Then the enhanced images in different regions are linearly fused. For different regions different scale combinations are selected by analyzing the influencing character of different scales on the enhanced image. The proposed algorithm is compared with other algorithms. Results show that this algorithm possesses good enhancement effect, which can improve the image contrast and sharpening.

Key words: computer application, illuminance partition, multi-scale enhancement, LIP model, liner fusio

CLC Number: 

  • TP391.9
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