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Abstract ▼ AI-Helper

We present an effective method for detail enhancement of 2D images based on art photograph techniques. In contrast to the previous methods that enhance details while preserving local tone, our technique produces a detail enhanced image with local tone changes for better detail enhancement. This is b...

We present an effective method for detail enhancement of 2D images based on art photograph techniques. In contrast to the previous methods that enhance details while preserving local tone, our technique produces a detail enhanced image with local tone changes for better detail enhancement. This is based on the light control concept of professional photographers for art photographs. Our technique consists of two parts: target map generation and linear model optimization. In target map generation, we construct a target gradient image for enhanced detail and an importance image indicating effectiveness of the target gradient for the result quality. In linear model optimization, we generate the optimized result image maximizing similarity to the target gradient while considering the importance and pixel value range constraint. Experimental results demonstrate that proposed method generates various results with effectively enhanced detail in every part of the image, regardless of the local tone.

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