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Image enhancement through contrast improvement using parameterized gradient intercept model


Article Information

Title: Image enhancement through contrast improvement using parameterized gradient intercept model

Authors: I. Suneetha, T.Venkateswarlu

Journal: ARPN Journal of Engineering and Applied Sciences

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Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2012

Volume: 7

Issue: 8

Language: English

Categories

Abstract

Quality of the image is not satisfactory in many cases to extract the useful information. Image enhancement process gives better visual quality either by increasing the contrast or suppressing the noise. As all enhancement techniques are application oriented, it is necessary to find a method which needs simple operations with effective enhancement and does not require complex operations like logarithmic, exponential, Probability Density Function. This paper proposes a method for image enhancement through contrast improvement using a Parameterized Gradient Intercept Model in spatial domain. The proposed method provides good results subjectively as well as objectively for both gray scale and true color images. The proposed method is useful for interactive image processing applications as it has a family of possible transformations for various enhancement levels.


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