Automatic Image Quality Improvement Technique by Digital Image Processing

Abstract

Image quality is a very important factor for digital imaging devices. Lighting conditions and image scene that affect to image quality vary hour after hour. It is hard to stably obtain high quality image by using an image correction method with previously fixed parameters. In order to solve the problem, we need an image correction technique for image quality-image saturation, contrast, white balance, sharpness, and preferred colors-that controls correction parameters adapting to image quality of input image. This article describes image-processing techniques to improve image quality by analyzing image contents and calculating optimal parameters. The techniques adaptively correct image quality depending on image quality of an input image. A smoothing technique of correction parameters, which is used for quality improvement of moving pictures, is also described.