11Image Enhancement Techniques to Modify an Image with Machine Learning Application

Shiplu Das1*, Sohini Sen2, Debarun Joardar2 and Gargi Chakraborty2

1Department of Computer Science and Engineering, Adamas University, West Bengal, India

2Department of Computer Science and Engineering, Brainware University, West Bengal, India

Abstract

Image enhancement is important in the field of image processing because it improves image quality by showcasing valuable information and trying to suppress unnecessary facts in the figure. The evolution of image improvement algorithms is examined in this paper. Image enhancement is the procedure of processing a picture to construct it more suitable for a particular application than the actual picture. These strategies have a diverse variety of uses in medical image filtering, such as cancer detection, and the tumor detection goal of image enhancement images with low contrast must be improved. These attempts to measure aided in establishing the spectral and spatial integrity of the reconstructed image. It is necessary to improve picture quality in order to improve these images for human viewing or further analysis. Image contrast enhancement is one technique for improving image quality. There are several techniques for enhancing contrast. Low-contrast images are typically captured in either dark or bright environments. As a result, pre-processing of such images is required to make them suitable for other image processing applications. This is ...

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