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Enhancing dull images using discrete wavelet families and fuzzy

D. Kothandaraman, A. Balasundaram, Seena Naik Korra, E. C. G. Sudarshan, B. Vijaykumar

2020IOP Conference Series Materials Science and Engineering17 citationsDOIOpen Access PDF

Abstract

Abstract Enhancement of an image which is dull is used in important application like restoring an image. Especially when enhancing a gloomy image it becomes quite difficult. Hence a simpler but effective method for enhancing the image is proposed here. Here a novel method based on graphical user interface which allows the user to enhance the image based on their requirement is proposed. The algorithm used for this is the discrete wavelet transforms families which will decompose the dull image. The four approximation coefficient obtained after decomposition are further manipulated using fuzzy logic in order to enhance the image. And then inverse discrete wavelet transform is used to reconstruct the image. Experimental results show that the proposed method is robust in enhancing the quality of images.

Topics & Concepts

Image (mathematics)Artificial intelligenceWaveletFuzzy logicDiscrete wavelet transformComputer visionMathematicsComputer scienceWavelet transformPattern recognition (psychology)AlgorithmImage Enhancement TechniquesAdvanced Image Fusion TechniquesImage and Signal Denoising Methods
Enhancing dull images using discrete wavelet families and fuzzy | Litcius