Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital\nimages may get degraded. In spite of much advancement in imaging science, captured images do not always fulfill\nusers� expectations of clear and soothing views. Most of the existing methods mainly focus on either global or local\nenhancement that might not be suitable for all types of images. These methods do not consider the nature of the\nimage, whereas different types of degraded images may demand different types of treatments. Hence, we classify\nimages into several classes based on the statistical information of the respective images. Afterwards, an adaptive\ngamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of\nAGC are set dynamically based on the image information. Extensive experiments along with qualitative and\nquantitative evaluations show that the performance of AGC is better than other state-of-the-art techniques.
Loading....