Low Contrast Image Enhancement Using Adaptive Filter and DWT: A Literature Review
Aarti Pareyani, Agya Mishra · 2015
Image enhancement refers to accentuation, or sharpening of image features such as edges, boundaries or contrast to make a graphic display more useful for display and analysis. One of the most common defects of photographic or digital images is poor contrast resulting from a reduced, and perhaps nonlinear, image amplitude range. This paper reviews different algorithms particularly based on adaptive filtering techniques. Weighted filter algorithm, particle swarm optimization(PSO) algorithm, algorithm using hybrid combination of particle filter and wavelet, algorithm using combination of three techniques (median filtering, CLAHE and morphological operation), local tone mapping algorithm and Non-linear adaptive (NLA) algorithm are discussed and compared. This paper concludes about better algorithm which may be the field of research.