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Adaptive Unsharp Masking Filter Design Based on Multi-Scale Retinex for Image Enhancement

영상의 화질 개선을 위한 Multi-Scale Retinex 기반의 적응적 언샤프 마스킹 필터 설계

  • Kim, Ju Young (Dept. of Electronics and Computer Eng., Seokyeong University) ;
  • Kim, Jin Heon (Dept. of Computer Eng., Seokyeong University)
  • Received : 2018.01.12
  • Accepted : 2018.01.22
  • Published : 2018.02.28

Abstract

In this paper, we propose an image enhancement method based on Multi-Scale Retinex theory that designs Unsharp Masking Filter (UMF) and emphasizes the contrast ratio adaptively. Unsharp Masking (UM) technique emphasizes image sharpness and improves contrast ratio by adding high frequency component to the original image. The high frequency component is obtained by differentiating between original image and low frequency image. In this paper, we present how to design an UMF kernel and to adaptively apply it to increase the contrast ratio according to multi-scale retinex theory which resembles human visual system. Experimental results show that the proposed method has better quantitative performance indexes such as PSNR, ambe & SSIM and better qualitative feature like halo artifact suppression.

Keywords

References

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