Magnification of Gray-leveled Image Using Genetic Algorithm

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  • 遺伝的アルゴリズムを用いた濃淡画像の拡大処理
  • イデンテキ アルゴリズム オ モチイタ ノウタン ガゾウ ノ カクダイ ショリ

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Abstract

In the magnification process of a digital gray-leveled image, the image quality often becomes inferior because of dull edges or block noises. This paper proposes a method to determine appropriate gray levels of all pixels in a magnified image using a genetic algorithm in order to obtain the magnified image with sharp edges. The gray level of each pixel that is estimated by the nearest neighbor interpolation is changed dynamically in the range of gray levels included in the neighbor pixels. The fitness of an individual is evaluated by the spatial differential values included in the magnified image Experimental results show that the magnified images by the proposed method have sharpness compared with the conventional magnification method. Also, the higher SN ratios between the magnified images and the original images were obtained.

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