Image enhancement technique using color and edge features for mobile systems
Won-Ho Cho, Tae-Chan Kim · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
The paper provides a method of selectively controlling the strength of image noise reduction (NR) and sharpening in regions associated with specific colors that are visually impact on the human visual system. Since NR and sharpening operation can cause undesirable edge blurring or noise boosting in flat regions, the strength is adjusted according to the edge information. The proposed algorithm takes the following three stages: (i) color-based region classification, (ii) adaptive texture-based NR and sharpening, and (iii) H/W optimization for mobile image sensor compatibility. Experiments indicate that the proposed integrated algorithm platform provides significantly better results in terms of subjective visual quality.