Proposing autotuning image enhancement method using stochastic resonance

Abstract

This paper is associated with an autotuning stochastic resonance (SR) approach for image enhancement on illumination variant images. This new process is being developed based on our previous works related to image enhancement by using SR through the manual tuning process. The process was performed by adding the random noise and threshold 0 in an image. The process works properly in the dark and very low contrast images as well as bright images based and mixed illumination variant images. This system works on the images with the mixture of darkness and brightness. We also present the idea of autotuning of the iteration with random noise and threshold value 0 by using the process related to the histogram calculation or mean and median. We performed various experiments on various types of images including human faces under different conditions and confirmed the effectiveness of our image enhancement technique.