This paper is published in Volume-5, Issue-5, 2019
Area
Image Processing
Author
Samruddhi Patil
Co-authors
Chaya Jadhav
Org/Univ
Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India
Pub. Date
12 September, 2019
Paper ID
V5I5-1155
Publisher
Keywords
Diffuse reflection, Specular reflection, Illumination chromaticity, Global color information

Citationsacebook

IEEE
Samruddhi Patil, Chaya Jadhav. Elimination of specular reflection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Samruddhi Patil, Chaya Jadhav (2019). Elimination of specular reflection. International Journal of Advance Research, Ideas and Innovations in Technology, 5(5) www.IJARIIT.com.

MLA
Samruddhi Patil, Chaya Jadhav. "Elimination of specular reflection." International Journal of Advance Research, Ideas and Innovations in Technology 5.5 (2019). www.IJARIIT.com.

Abstract

Detection of highlights is a prominent issue in computer vision, graphics and image processing. Applications that require object properties’ measurement or rendering are affected by specular reflection since the models assume matte diffusing surfaces most of the time. Hence, detection, and sometimes removal, of specular reflection (highlights) in an image may be critical. Proposed work takes the help of global color information of an image to effectively recover specular and diffuse reflection. We take help of a dichromatic reflection model to get insights into specular and diffuse reflection. To detect illumination chromaticity (specular reflection regions) we have effectively used a k-means algorithm. Pixels in an image are spread over the entire image and their distances to the illumination chromaticity give the number of specular reflection components. With such non-local overall information from these color lines, our method can effectively separate specular and diffuse reflection components using the repaint() method. We have taken the help of the Imglib2 library.
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