A Review of Image Enhancement Techniques To Increase Contrast

Captured images generally have low contrast and high noise; sometimes they are badly illuminated, dark or hazy. Improving Quality of those images is always a difficult, challenging, as well as an important task in image processing. For resolving image related problems in many fields like biometric, X-rays etc a number of techniques are available. This paper presents comparison of various attempts to observe their effectiveness for searching optimal solutions to enhance the contrast and detail in an image. Experimental results of each technique are compared with other enhancement techniques, viz. histogram equalization, contrast stretching and particle swarm optimization (PSO) etc. Objective evaluation of results obtained Approve the superiority of DE method over the other methods as it significantly enhance detailed regions and produces little noise over-enhancement. It produces a better contrast as compared to other algorithms.