Selective Sharpening of Color Images through Coupled Nonlinear Diffusion Process

DOI Web Site Web Site 1 Citations 10 References
  • Saito Takahiro
    Department of Electrical, Electronics and Infoemation Engineering, Faculty of Engineering, Kanagawa University High-Tech Research Center, Kanagawa University
  • Harada Hiroyuki
    Department of Electrical, Electronics and Infoemation Engineering, Faculty of Engineering, Kanagawa University High-Tech Research Center, Kanagawa University
  • Satsumabayashi Jun
    Department of Electrical, Electronics and Infoemation Engineering, Faculty of Engineering, Kanagawa University
  • Komatsu Takashi
    Department of Electrical, Electronics and Infoemation Engineering, Faculty of Engineering, Kanagawa University High-Tech Research Center, Kanagawa University

Bibliographic Information

Other Title
  • 連立非線形拡散法によるカラー画像の選択的鮮鋭化
  • レンリツ ヒセンケイ カクサンホウ ニ ヨル カラー ガゾウ ノ センタクテキ センエイカ

Search this article

Abstract

We previously presented a method of selectively sharpening monochrome images. The algorithm in our method is based on the coupled nonlinear diffusion process composed of a nonlinear diffusion term, a fidelity term, and an overshooting term, and can sharpen blurred edges without increasing noise visibility. This paper extends our algorithm to selectively sharpening color images. We take into accounts two schemes to treat the three primary color components in finding out how to extend it. Through quantitative experiments, we evaluate selective sharpening performance achievable with the two schemes. Of the two schemes, which are based on the coupled nonlinear diffusion process, collectively treating the three primary color components achieves better performance than treating them independently, yet both two schemes can sharpen blurred color edges more selectively than the existing adaptive peaking method, which is a typical means of enhancing sharpness.

Journal

Citations (1)*help

See more

References(10)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top