Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Hybrid Model for Image Classification and Analysis of Best Enhancement Technique

Author : Divya H N 1 Deepu R 2

Date of Publication :16th August 2017

Abstract: With the advent of technology and devices, information from various media are emerging in the form of images and videos. These images get distorted due to various reasons such as motion blurring, compression, sensor inadequacy, error that may occur during transmission or the combination of various other factors. Image Enhancement is one among the most important techniques used to address these distorted images by improving the visual appearance of an image. There are wide varieties of techniques available to enhance quality of an image. Choice of suitable technique is a critical task which is application specific and objective to which images are being used. The objective of this paper is to identify the category of image based on its texture features and analyze the best enhancement technique. The paper reviews and analyses various available enhancement techniques. The possible better enhancement technique is assessed using image quality metrics such as Mean Average Error (MAE) and Peak Signal To Noise Ratio (PSNR) values

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