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Image Scanning, Display, and Printing

viewpoint calibration method based on point features for point cloud fusion


In this study, we propose a 3D viewpoint calibration method. The method relies on the novel combination of 3D-SIFT (scale-invariant feature transform) keypoints and FPFH (fast point feature histogram) features, which are used for feature matching. Based on the feature correspondences, we compute the transformation to resolve the difference of the viewpoints.

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Authors:
Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong
Submitted On:
13 September 2017 - 10:27pm
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poster_icip_final.pdf

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[1] Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong, "viewpoint calibration method based on point features for point cloud fusion", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1986. Accessed: Oct. 19, 2017.
@article{1986-17,
url = {http://sigport.org/1986},
author = {Liang Zhang; Xiao Zhang; Juan Song; Peiyi Shen; Guangming Zhu; Shaokai Dong },
publisher = {IEEE SigPort},
title = {viewpoint calibration method based on point features for point cloud fusion},
year = {2017} }
TY - EJOUR
T1 - viewpoint calibration method based on point features for point cloud fusion
AU - Liang Zhang; Xiao Zhang; Juan Song; Peiyi Shen; Guangming Zhu; Shaokai Dong
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1986
ER -
Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong. (2017). viewpoint calibration method based on point features for point cloud fusion. IEEE SigPort. http://sigport.org/1986
Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong, 2017. viewpoint calibration method based on point features for point cloud fusion. Available at: http://sigport.org/1986.
Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong. (2017). "viewpoint calibration method based on point features for point cloud fusion." Web.
1. Liang Zhang, Xiao Zhang, Juan Song, Peiyi Shen, Guangming Zhu, Shaokai Dong. viewpoint calibration method based on point features for point cloud fusion [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1986

Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization


In this paper, we propose naturalness-preserved tone mapping in images based on perceptual quantization (PQ). PQ is a transfer function based on Barten's contrast sensitive function (CSF) which represents human visual perception on luminance, and we adopt it to generate a limit curve for perceptual contrast enhancement. First, we obtain a limit curve in an image based on PQ transfer function to adjust the degree of contrast enhancement. Second, we redistribute the histogram using the limit curve and achieve perceptual contrast enhancement.

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Authors:
Cheolkon Jung, Kaiqiang Xu
Submitted On:
11 September 2017 - 9:47am
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ICIP2017_Naturalness_final.pdf

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[1] Cheolkon Jung, Kaiqiang Xu, "Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1905. Accessed: Oct. 19, 2017.
@article{1905-17,
url = {http://sigport.org/1905},
author = {Cheolkon Jung; Kaiqiang Xu },
publisher = {IEEE SigPort},
title = {Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization},
year = {2017} }
TY - EJOUR
T1 - Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization
AU - Cheolkon Jung; Kaiqiang Xu
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1905
ER -
Cheolkon Jung, Kaiqiang Xu. (2017). Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization. IEEE SigPort. http://sigport.org/1905
Cheolkon Jung, Kaiqiang Xu, 2017. Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization. Available at: http://sigport.org/1905.
Cheolkon Jung, Kaiqiang Xu. (2017). "Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization." Web.
1. Cheolkon Jung, Kaiqiang Xu. Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1905

SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN


Currently, hexagonal image processing is mainly based on simulated data generated by square lattice conversions. For the evaluation of the conversion quality, this paper presents a method for ideal square to hexagonal lattice conversion. Based on the square lattice discrete-time Fourier transform (DTFT), the method first determines the values of the hexagonal discrete Fourier transform (HDFT), and performs the inverse HDFT to obtain the ideal conversion. This method provides a benchmark for evaluating other practical conversions and such evaluation is presented in this paper.

icip-2614.pdf

PDF icon icip-2614.pdf (26 downloads)

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Authors:
Xiangguo Li, Bryan Gardiner, Sonya A. Coleman
Submitted On:
5 September 2017 - 7:27am
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icip-2614.pdf

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[1] Xiangguo Li, Bryan Gardiner, Sonya A. Coleman, "SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1835. Accessed: Oct. 19, 2017.
@article{1835-17,
url = {http://sigport.org/1835},
author = {Xiangguo Li; Bryan Gardiner; Sonya A. Coleman },
publisher = {IEEE SigPort},
title = {SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN},
year = {2017} }
TY - EJOUR
T1 - SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN
AU - Xiangguo Li; Bryan Gardiner; Sonya A. Coleman
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1835
ER -
Xiangguo Li, Bryan Gardiner, Sonya A. Coleman. (2017). SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN. IEEE SigPort. http://sigport.org/1835
Xiangguo Li, Bryan Gardiner, Sonya A. Coleman, 2017. SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN. Available at: http://sigport.org/1835.
Xiangguo Li, Bryan Gardiner, Sonya A. Coleman. (2017). "SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN." Web.
1. Xiangguo Li, Bryan Gardiner, Sonya A. Coleman. SQUARE TO HEXAGONAL LATTICE CONVERSION IN THE FREQUENCY DOMAIN [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1835

A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION


With the popularity of mobile devices having smaller screens, it is important to focus on the clarity of the displayed content for the end users. Currently, there is no link between the layout or size of displayed image and the information content in those images. In this paper, we present a method for optimally arranging and displaying a group of images, where the relative size of the images is proportional to the number of objects in the images, or the number of faces.

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Authors:
Anish Anil Patankar, Joy Bose
Submitted On:
1 September 2017 - 6:04am
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Poster for the ICIP 2017 Conference on the topic "Method for resizing images by content perception"

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[1] Anish Anil Patankar, Joy Bose, "A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1815. Accessed: Oct. 19, 2017.
@article{1815-17,
url = {http://sigport.org/1815},
author = {Anish Anil Patankar; Joy Bose },
publisher = {IEEE SigPort},
title = {A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION},
year = {2017} }
TY - EJOUR
T1 - A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION
AU - Anish Anil Patankar; Joy Bose
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1815
ER -
Anish Anil Patankar, Joy Bose. (2017). A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION. IEEE SigPort. http://sigport.org/1815
Anish Anil Patankar, Joy Bose, 2017. A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION. Available at: http://sigport.org/1815.
Anish Anil Patankar, Joy Bose. (2017). "A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION." Web.
1. Anish Anil Patankar, Joy Bose. A METHOD OF RESIZING IMAGES BY CONTENT PERCEPTION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1815

FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES


A new type of light field display called a tensor display was investigated. Although this display consists of only a few light attenuating
layers located in front of a backlight, many views can be emitted in different directions simultaneously without sacrificing the resolution
of each view. The transmittance pattern of each layer is calculated from a light field, namely, a set of dense multi-view images (typically
dozens) that are to be observed from different directions. However, preparing such images is often cumbersome for real objects. We propose

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Authors:
Keita Takahashi, Toshiaki Fujii
Submitted On:
11 March 2017 - 8:48pm
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icassp_poster_2.pdf

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[1] Keita Takahashi, Toshiaki Fujii, "FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1575. Accessed: Oct. 19, 2017.
@article{1575-17,
url = {http://sigport.org/1575},
author = {Keita Takahashi; Toshiaki Fujii },
publisher = {IEEE SigPort},
title = {FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES},
year = {2017} }
TY - EJOUR
T1 - FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES
AU - Keita Takahashi; Toshiaki Fujii
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1575
ER -
Keita Takahashi, Toshiaki Fujii. (2017). FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES. IEEE SigPort. http://sigport.org/1575
Keita Takahashi, Toshiaki Fujii, 2017. FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES. Available at: http://sigport.org/1575.
Keita Takahashi, Toshiaki Fujii. (2017). "FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES." Web.
1. Keita Takahashi, Toshiaki Fujii. FROM FOCAL STACKS TO TENSOR DISPLAY: A METHOD FOR LIGHT FIELD VISUALIZATION WITHOUT MULTI-VIEW IMAGES [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1575

A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents


The digital scans of double sided documents suffer from distortions because the contents on the back side of the document often shows up on the front side in the scans and vice-versa either due to transparency of the paper or due to ink-bleeding. This is show-through effect. In this paper a state-space based approach is proposed for removing this commonly found contamination in the scans of duplex printed documents. Separate state-space representation for signals and parameters are defined and a dual state-parameter estimation approach is employed to alleviate the degradation in the scans.

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Authors:
Sabita Langkam, Alok Kanti Deb
Submitted On:
2 March 2017 - 12:24am
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A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents

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[1] Sabita Langkam, Alok Kanti Deb, "A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1572. Accessed: Oct. 19, 2017.
@article{1572-17,
url = {http://sigport.org/1572},
author = {Sabita Langkam; Alok Kanti Deb },
publisher = {IEEE SigPort},
title = {A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents},
year = {2017} }
TY - EJOUR
T1 - A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents
AU - Sabita Langkam; Alok Kanti Deb
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1572
ER -
Sabita Langkam, Alok Kanti Deb. (2017). A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents. IEEE SigPort. http://sigport.org/1572
Sabita Langkam, Alok Kanti Deb, 2017. A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents. Available at: http://sigport.org/1572.
Sabita Langkam, Alok Kanti Deb. (2017). "A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents." Web.
1. Sabita Langkam, Alok Kanti Deb. A Dual Estimation Approach for Removing the Show-Through Effect in the Scanned Documents [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1572

Scanned Document Enhancement Based on Fast Text Detection

Paper Details

Authors:
Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner
Submitted On:
23 March 2016 - 8:47am
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ICASSP2016_Poster.pdf

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[1] Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner, "Scanned Document Enhancement Based on Fast Text Detection", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/990. Accessed: Oct. 19, 2017.
@article{990-16,
url = {http://sigport.org/990},
author = {Jobin J Mathew; Eli Saber; David Larson; Peter Bauer; George Kerby; Jerry Wagner },
publisher = {IEEE SigPort},
title = {Scanned Document Enhancement Based on Fast Text Detection},
year = {2016} }
TY - EJOUR
T1 - Scanned Document Enhancement Based on Fast Text Detection
AU - Jobin J Mathew; Eli Saber; David Larson; Peter Bauer; George Kerby; Jerry Wagner
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/990
ER -
Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner. (2016). Scanned Document Enhancement Based on Fast Text Detection. IEEE SigPort. http://sigport.org/990
Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner, 2016. Scanned Document Enhancement Based on Fast Text Detection. Available at: http://sigport.org/990.
Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner. (2016). "Scanned Document Enhancement Based on Fast Text Detection." Web.
1. Jobin J Mathew, Eli Saber, David Larson, Peter Bauer, George Kerby, Jerry Wagner. Scanned Document Enhancement Based on Fast Text Detection [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/990

Accurate Recovery of a Specularity from a few Samples of the Reflectance Function

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Authors:
Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli
Submitted On:
17 March 2016 - 3:32am
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Poster_vertical_3.pdf

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[1] Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli, "Accurate Recovery of a Specularity from a few Samples of the Reflectance Function", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/736. Accessed: Oct. 19, 2017.
@article{736-16,
url = {http://sigport.org/736},
author = {Ivan Dokmanić; Loïc Baboulaz; Martin Vetterli },
publisher = {IEEE SigPort},
title = {Accurate Recovery of a Specularity from a few Samples of the Reflectance Function},
year = {2016} }
TY - EJOUR
T1 - Accurate Recovery of a Specularity from a few Samples of the Reflectance Function
AU - Ivan Dokmanić; Loïc Baboulaz; Martin Vetterli
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/736
ER -
Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli. (2016). Accurate Recovery of a Specularity from a few Samples of the Reflectance Function. IEEE SigPort. http://sigport.org/736
Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli, 2016. Accurate Recovery of a Specularity from a few Samples of the Reflectance Function. Available at: http://sigport.org/736.
Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli. (2016). "Accurate Recovery of a Specularity from a few Samples of the Reflectance Function." Web.
1. Ivan Dokmanić, Loïc Baboulaz, Martin Vetterli. Accurate Recovery of a Specularity from a few Samples of the Reflectance Function [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/736