抽象的な

Image Enhancement Using Wavelets

Shivani Jain, Jyoti Rani

Image enhancement is based on the multi scale singularity detection with an adaptive threshold whose value is calculated via maximum entropy measure. Wavelet transforms are used because of their inherent property that they are redundant and shift invariant. Intensity changes occur at different scales in an image, so that their optimal detection requires the use of operators of different sizes. So, a vision filter should be a differential operator, and it should be capable of being tuned to act at any desired scale and the wavelets are ideal for this. Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. This paper will provide an overview of underlying concepts commonly used for image enhancement.