A Study of Digital Image Enlargement and Enhancement

• Published in: Mathematical problems in engineering Vol. 2014; no. 2014; pp. 1 - 7
• Main Authors: Lin, Hsueh-Yi, Lin, Chi-Yuan, Lin, Cheng-Jian, Yang, Sheng-Chih, Yu, Cheng-Yi
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Puplishing Corporation 01.01.2014; Hindawi Publishing Corporation; Hindawi Limited
• Subjects: Adaptive algorithms; Algorithms; Bias; Digital imaging; Engineering; Enlargement; Expansion; Image enhancement; Image quality; Inverse; Mathematical functions; Tangents
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2014/825169

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.