A survey on image illumination enhancement techniques and a new approach to assess the image illumination

Presently, digital images are used in many parts of the daily life and various fields of academic and scientific researches. These applications depend on the quality of the image obtained. Illumination enhancement is required for all the applications which are using digital images in some part, to make them work properly, also assessment of the illumination quality is, as important as the illumination enhancement for comparing images and having an idea about the proposed output of the academic research results in the field of digital image processing. Illumination problems has become a demanding matter in various applications of digital image processing. A relevant argument in the field of illumination enhancement is lack of a quantitative measurement method to assess the illumination of an image. A quantitative measurement that is demonstrating the illumination case (contrast level, brightness etc.) of an image is proposed. Proposed new approach in this thesis, appropriates the input image's estimated Gaussian distribution and the Kullback-Leibler Divergence of the estimated Gaussian distribution and the expected Gaussian distribution for measurement and the calculations. In the results part, the experimental works show the influence and the accuracy of the proposed approach for the assessment of image illumination quality.