Paper Info
Title
Single Image Highlight Removal For Real-Time Image Processing Pipelines
Abstract
This paper presents a fully automatic method for the separation of diffuse and specular reflection components from a single image. Overall, the mechanisms in which the available methods operate on are computationally costly and do not translate well to modern hardware-implemented image processing pipelines, such as the ones present in consumer electronics. Consequently, the objective of this article is to introduce a simple yet effective method for specular highlight removal. It is based on the dichromatic reflection model and operates through histogram matching in the YCbCr color space. The proposed method performs in real-time. It only uses global image statistics and point-wise intensity transformations. Experimental evaluation shows that the proposed approach has competitive results in comparison to state-of-the-art methods. Limitations of the proposed approach are seldom and are common to most methods available. The proposed method, however, achieves better quality results with much less computational cost, thus enabling feasibility in systems with limited processing power.
Year
DOI
Venue
2020
10.1109/ACCESS.2019.2963037
IEEE ACCESS
Keywords
Field
DocType
Blind source separation, feature extraction, image color analysis, image enhancement, image processing, image texture analysis
Pipeline transport,Computer science,Image processing,Real-time computing,Distributed computing
Journal
Volume
ISSN
Citations 
8
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Vítor S. Ramos100.34
Luiz Gonzaga de Queiroz Silveira200.34
Luiz Felipe Q. Silveira3196.32