Low Contrast Image Enhancement Using Adaptive Filter and DWT: A Literature Review 

Journal Title: Indian Journal of Computer Science and Engineering - Year 2015, Vol 6, Issue 3

Abstract

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.

Authors and Affiliations

AARTI PAREYANI , DR. AGYA MISHRA

Keywords

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  • EP ID EP111549
  • DOI -
  • Views 189
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How To Cite

AARTI PAREYANI, DR. AGYA MISHRA (2015). Low Contrast Image Enhancement Using Adaptive Filter and DWT: A Literature Review . Indian Journal of Computer Science and Engineering, 6(3), 91-97. https://europub.co.uk/articles/-A-111549