Specular highlights detection and reduction with multi-flash photography

Feris, Rogério; Raskar, Ramesh; Tan, Kar-Han; Turk, Matthew

doi:10.1007/bf03192386

Cited by 13 publications

(1 citation statement)

References 13 publications

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“…However, precise pixel position alignment is required to combine corresponding pixels from each acquired image. The multi-flash [33] and multi-view [22,34] methods modify the flash direction or camera position to reduce the influence of specular reflection components, although they may not be suitable for imaging cylindrical specular surfaces.…”

Section: Introductionmentioning

confidence: 99%

Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces

Xiong,

Zhang,

et al. 2024

J. Opt.

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Imaging a target scene with specular surfaces is a daunting challenge for both direct imaging and indirect computational imaging techniques. The intense specular reflection component during the measurement severely degrades the quality of the reconstructed image, resulting in a substantial loss of scene information. To address this issue, we propose a computational ghost imaging （CGI） method with adaptive intensity illumination. Capitalizing on the encoded imaging feature of CGI, this method enables effective imaging of target scenes with specular surfaces through two series of measurements, eliminating the necessity for additional optical components. Based on the position and intensity information of pixels in the specular regions from the first series of measurements, our method modulates the illumination patterns to weaken the intensity of the specular region in the second series of measurements. Simulation and experimental results demonstrate that the utilization of these modulated illumination patterns for target scene measurement effectively mitigates interference from the specular surface during imaging. Consequently, the reconstructed image is capable of presenting more detailed information about the target scene other than the specular regions. Our work introduces a novel approach for imaging target scenes with specular surfaces and broadens the scope of applications for CGI in reality.

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Section: Introductionmentioning

confidence: 99%

Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces

Xiong,

Zhang,

et al. 2024

J. Opt.

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Reaching Behind Specular Highlights by Registration of Two Images of Broiler Viscera

Jorgensen

Pedersen

Gade

et al. 2019

Computer Vision – ACCV 2018 Workshops

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Analytical Survey of Highlight Detection in Color and Spectral Images

Khan

Thomas

Hardeberg

2017

Lecture Notes in Computer Science

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International audienceDetection of highlights is a prominent issue in computer vision, graphics and image processing. Applications which 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. Several methods are proposed for addressing this issue. In this paper, we present a review and analysis of these techniques in color and spectral images

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Specular highlights detection and reduction with multi-flash photography

Abstract: We present a novel method to reduce the effect of specularities

Cited by 13 publications

References 13 publications

Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces

Computational ghost imaging with adaptive intensity illumination for scenes featuring specular surfaces

Reaching Behind Specular Highlights by Registration of Two Images of Broiler Viscera

Analytical Survey of Highlight Detection in Color and Spectral Images

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