Image Enhancement using Generalized Unsharp Masking Algorithm

Autor:	T. Ravi Teja, T.Gopi Sai Krishna, T Ganesh Reddy
Rok vydání:	2015
Předmět:	Computer science Component (UML) media_common.quotation_subject Contrast (vision) Filter (signal processing) Data model (GIS) Image enhancement Algorithm Image (mathematics) media_common Unsharp masking
Zdroj:	International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. :4225-4228
ISSN:	2278-8875 2320-3765
DOI:	10.15662/ijareeie.2015.0405047
Popis:	Enhancement of contrast and sharpness of an image is required in many applications. Unsharp masking is a classical tool for sharpness enhancement. We propose a generalized unsharp masking algorithm using the exploratory data model as a unified framework. The proposed algorithm is designed to address three issues: 1) simultaneously enhancing contrast and sharpness by means of individual treatment of the model component and the residual, 2) reducing the halo effect by means of an edge-preserving filter, and 3) solving the out-of-range problem. Experimental results, which are comparable to recently published results, show that the proposed algorithm is able to significantly improve the contrast and sharpness of an image. In the proposed algorithm,the user can adjust the two parameters controlling the contrast and sharpness to produce the desired results. This makes the proposed algorithm practically useful.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::971b6f8fa031a374c79bd051b07849e6 https://doi.org/10.15662/ijareeie.2015.0405047 Zobrazit plný text záznamu