Single Image Highlight Removal for Real-Time Image Processing Pipelines

IEEE Access

Luiz Gonzaga De Q. Silveira Junior¹  Luiz Felipe De Q. Silveira²  Vitor S. Ramos³ 

[1] Communications Engineering Department, Federal University of Rio Grande do Norte, Natal, Brazil;Computer Engineering and Automation Department, Federal University of Rio Grande do Norte, Natal, Brazil;Electrical and Computer Engineering Graduate Program, Federal University of Rio Grande do Norte, Natal, Brazil;

关键词: Blind source separation;    feature extraction;    image color analysis;    image enhancement;    image processing;    image texture analysis;   

DOI  :  10.1109/ACCESS.2019.2963037

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown