AADYA -National Journal of Management and Technology

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The Principle objective of Image enhancement is to improve the image quality so that the resultant image is better than the original image for a specific application. Image enhancement is the task of applying certain alterations to an input image like as to obtain a more visually pleasing image. Thermal image enhancement used in Quality Control, colour and gray scale image, Problem Diagnostics, Research and Development, Risk Management Programme, Digital infrared thermal imaging in health care, law enforcement and defence. Various enhancement schemes are used for enhancing an image which includes gray scale manipulation, Histogram Equalization (HE), fast Fourier transform, Image fusion and denoising. Image enhancement is the process of making images more useful. The reasons for doing this include, Highlighting interesting detail in images, removing noise from images, making images more visually appealing, edge enhancement and increase the contrast of the image.

Keywords

Adaptive Filtering, DE Noising, Fast Fourier Transform, Histogram Equalisation, Image Enhancement, Image Fusion, Linear Filtering.
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