Inpainting Highlights Using Color Line Projection

Park, Joung Wook; Lee, Kwan Heng

doi:10.1093/ietisy/e90-1.1.250

Cited by 12 publications

(7 citation statements)

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“…Starting from an illumination-aligned color space that contains specular reflection in one axis and pure diffuse reflections in the remaining two axes [16], the specularity removal is accomplished by using a partial differential equation that iteratively erodes the specular component. Park and Lee [17] proposed a method to inpaint highlight by using two images with different exposure times, based on the color line projection technique. Tan et al [18] proposed an illumination-constrained inpainting method to remove the specular reflection in the manually identified highlight region.…”

Section: A Previous Workmentioning

confidence: 99%

“…Some methods can only remove specularity from objects with the same diffuse color, and preprocessing steps such as image segmentation is necessary when dealing with multicolored surfaces [7,13]. Some other methods are able to handle the separation of specular reflection from textured and multicolored surfaces by considering the interactions between neighboring pixels [8,14,15,17,18]. However, as an iterative framework is adopted or complicated local interactions are utilized in these methods, these algorithms may become time consuming.…”

Section: A Previous Workmentioning

confidence: 99%

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Simple and efficient method for specularity removal in an image

2009

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For dielectric inhomogeneous objects, the perceived reflections are the linear combinations of diffuse and specular reflection components. Specular reflection plays an important role in the fields of image analysis, pattern recognition, and scene synthesis. Several methods for the separation of the diffuse and the specular reflection components have been presented based on image segmentation or local interaction of neighboring pixels. We propose a simple and effective method for specularity removal in a single image on the level of each individual pixel. The chromaticity of diffuse reflection is approximately estimated by employing the concept of modified specular-free image, and the specular component is adjusted according to the criterion of smooth color transition along the boundary of diffuse and specular regions. Experimental results indicate that the proposed method is promising when compared with other state-of-the-art techniques, in both separation accuracy and running speed.

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Section: A Previous Workmentioning

confidence: 99%

Section: A Previous Workmentioning

confidence: 99%

Simple and efficient method for specularity removal in an image

2009

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“…A different approach is based on the inpainting technique [15], [22]. The method in [15] requires the illumination information for guiding the inpainting procedure and the method in [22] requires two images captured with different exposure times based on the color line projection techniques.…”

Section: Introductionmentioning

confidence: 99%

“…The method in [15] requires the illumination information for guiding the inpainting procedure and the method in [22] requires two images captured with different exposure times based on the color line projection techniques. Compared to the conventional methods, these approaches provide better results in recovering the surface texture and shading intensities.…”

Section: Introductionmentioning

confidence: 99%

Inpainting for Fringe Projection Profilometry Based on Geometrically Guided Iterative Regularization

Budianto

Lun

2015

IEEE Trans. on Image Process.

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Conventional fringe projection profilometry methods often have difficulty in reconstructing the 3D model of objects when the fringe images have the so-called highlight regions due to strong illumination from nearby light sources. Within a highlight region, the fringe pattern is often overwhelmed by the strong reflected light. Thus, the 3D information of the object, which is originally embedded in the fringe pattern, can no longer be retrieved. In this paper, a novel inpainting algorithm is proposed to restore the fringe images in the presence of highlights. The proposed method first detects the highlight regions based on a Gaussian mixture model. Then, a geometric sketch of the missing fringes is made and used as the initial guess of an iterative regularization procedure for regenerating the missing fringes. The simulation and experimental results show that the proposed algorithm can accurately reconstruct the 3D model of objects even when their fringe images have large highlight regions. It significantly outperforms the traditional approaches in both quantitative and qualitative evaluations.

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“…Color space transformations have shown to help exploring the knowledge of the illuminant attributes in color images, which results in describing the image diffuse information independently [Park, 2007] [Zickler, 2008] [Tan, 2004]. By shifting or projecting image intensities into a specified color space, depending on the motivated application, one can linearly combine the three image color channels to obtain either one or two distinct diffuse channels.…”

Section: Image-chromaticity Color Spacementioning

confidence: 99%

Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering

Adjouadi

Lahlou

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ACKNOWLEDGMENTSAs humans, at one point in our life, we decide and become determined to achieve certain goals, which for some represent dreams and for others obligations that need to be fulfilled regardless of any kind of motivations. But most of us forget the true meaning of these achievements. We all seek a better living by advancing our knowledge mainly to help our society and facilitate our existence in this world. Knowledge in reality won't match the divine creation of something as small as an ant or as little as a fly, even after combining the knowledge of all humans and other living-beings that God has created throughout time.First and foremost, all praises, acknowledgements, and thanks go to the Lord of the seven heavens and earth, lord of the great and supreme throne, ALLAH (s.w.t.) almighty, above all his creations. He is the one who gave me life, health, strength, wealth, knowledge and Luckily, many people who I was fortunate to meet have contributed to the growth of these seeds in an excellent way. I was very fortunate to meet my advisor, mentor, and major professor Dr. Malek Adjouadi who during the past years has truly contributed to the person I'm today. Not only with his remarkable ways of transferring his knowledge to his students but also by teaching us leadership, motivation, and how to successfully attain and achieve our objectives. The care that he has always shown for our success in addition to his patience and trust has always pushed us to work harder to reach our goals. Exploiting the merits of the MSD method, a scene illumination rendering technique is designed to estimate the relative contributing specular reflectance attributes of a scene image. The image feature subset targeted provides a direct access to the surface ix illumination information, while a newly introduced efficient rendering method reshapes the dynamic range distribution of the specular reflectance components over each image color channel. This image enhancement technique renders the scene illumination reflection effectively without altering the scene's surface diffuse attributes contributing to realistic rendering effects.As an ancillary contribution, an effective color constancy algorithm based on the dichromatic reflectance model was also developed. This algorithm selects image highlights in order to extract the prominent surface reflectance that reproduces the exact illumination chromaticity. This evaluation is presented using a novel voting scheme technique based on histogram analysis.In each of the three main contributions, empirical evaluations were performed on synthetic and real-world image scenes taken from three different color image datasets.The experimental results show over 90% accuracy in illumination estimation contributing to near real world illumination rendering effects.x

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Inpainting Highlights Using Color Line Projection

Cited by 12 publications

References 0 publications

Simple and efficient method for specularity removal in an image

Simple and efficient method for specularity removal in an image

Inpainting for Fringe Projection Profilometry Based on Geometrically Guided Iterative Regularization

Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering

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