Open AccessA Study of Digital Image Enlargement and Enhancement
Author(s) -
Hsueh-Yi Lin,
Chi-Yuan Lin,
ChengJian Lin,
Sheng-Chih Yang,
Cheng-Yi Yu
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/825169
Subject(s) - computer vision , image (mathematics) , artificial intelligence , edge preserving smoothing , feature detection (computer vision) , edge enhancement , smoothing , image scaling , interpolation (computer graphics) , image texture , mathematics , image processing , enhanced data rates for gsm evolution , digital image , computer science , image quality , image restoration , digital image processing
Most image enlargement techniques suffer the problem of zigzagged edges and jagged images following enlargement. Humans are sensitive to the edges of objects; if the edges in the image are sharp, the visual is considered to be high quality. To solve this problem, this paper presents a new and effective method for image enlargement and enhancement based on adaptive inverse hyperbolic tangent (AIHT) algorithm. Conventional image enlargement and enhancement methods enlarge the image using interpolation, and subsequently enhance the image without considering image features. However, this study presents the method based on Adaptive Inverse Hyperbolic Tangent algorithm to enhance images according to image features before enlarging the image. Experimental results indicate that the proposed algorithm is capable of adaptively enhancing the image and extruding object details, thereby improving enlargements by smoothing the edge of the objects in the image
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