Chromaticity-based separation of reflection components in a single image

  title={Chromaticity-based separation of reflection components in a single image},
  author={Hui-Liang Shen and Honggang Zhang and S. Shao and J. Xin},
  journal={Pattern Recognit.},
The separation of diffuse and specular reflection components, or equivalently specularity removal, is required in the fields of computer vision, object recognition and image synthesis. This paper proposes a simple and effective method to separate reflections in a color image based on the error analysis of chromaticity and appropriate selection of body color for each pixel. By solving the least-squares problem of the dichromatic reflection model, reflection separation is implemented on a single… Expand
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A global color-lines constraint from dichromatic reflection model is derived to effectively recover specular and diffuse reflection and shows that this method performs better than the state-of-the-art methods to separate specular reflection. Expand
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The experimental results demonstrate that the proposed method is more effective to separate reflection components than the state-of-the-art methods. Expand
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This paper will present a brief survey of recent advances in separation of reflection components, also known as specularity (highlights) removal and present a critical analysis of their benefits and drawbacks. Expand
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A slope-based region growing method to implement an image segmentation in the specular regions, and to separate the reflection components for each segmented region as well as the state-of-the-art algorithms. Expand
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An efficient method to separate the diffuse and specular reflection components from a single image, built on the observation that the intensity ratios between the maximum values and range values are independent of surface geometry. Expand
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The problem of reflection component separation can be simplified into the problem of identifying diffuse maximum chromaticity, and the proposed method can separate the reflection components robustly for any kind of surface roughness and light direction. Expand
Separating reflection components of textured surfaces using a single image
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  • Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
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Evaluations by comparison with the results of polarizing filters demonstrate the effectiveness of the proposed method, which is based solely on colors, particularly chromaticity, without requiring any geometrical information. Expand
Separation of Reflection Components Using Color and Polarization
A technique is developed for separating the specular and diffuse components of reflection from images that can handle highlights on surfaces with substantial texture, smoothly varying diffuse reflectance, and varying material properties. Expand
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This paper presents an algorithm for analyzing a standard color image to determine intrinsic images of the amount of interface (specular) and body (diffuse) reflection at each pixel, based upon a physical model of reflection. Expand
Specularity Removal in Images and Videos: A PDE Approach
A unified framework for separating specular and diffuse reflection components in images and videos of textured scenes and an application termed dichromatic editing is presented in which the diffuse and the specular components are processed independently to produce a variety of visual effects. Expand
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A theory for computing the scene-illuminant chromaticity from specular highlight is described, and an interesting result is that in an ideal situation, two surfaces of different colors will be sufficient for the computation. Expand
Modeling Light Reflection for Computer Color Vision
An examination is made of the light reflection problem using the bidirectional spectral-reflectance distribution function (BSRDF) to specify both incident- and reflected-beam geometries and shows the adequacy of this type of model for surfaces of some material compositions. Expand
The 4-Source Photometric Stereo Technique for Three-Dimensional Surfaces in the Presence of Highlights and Shadows
We present an algorithm for separating the local gradient information and Lambertian color by using 4-source color photometric stereo in the presence of highlights and shadows. We assume that theExpand
Surface Identification Using the Dichromatic Reflection Model
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  • IEEE Trans. Pattern Anal. Mach. Intell.
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A method based on the dichromatic reflection model for identifying object surfaces and an algorithm to estimate a body reflectance function, unique to each surface, from the classified reflectances is proposed. Expand