Sorry, you need to enable JavaScript to visit this website.

Multimedia Signal Processing

A Fast Iterative Method for Removing Sparse Noise from Sparse Signals

Seyedeh Sahar Sadrizadeh

Reconstructing a signal corrupted by impulsive noise is of high importance in several applications, including impulsive noise removal from images, audios and videos, and separating texts from images. Investigating this problem, in this paper we propose a new method to reconstruct a noise-corrupted signal where both signal and noise are sparse but in different domains. We apply our algorithm for impulsive noise (Salt-and-Pepper Noise (SPN) and Random-Valued Impulsive Noise (RVIN) removal from images and compare our results with other notable algorithms in the literature.

Paper Details

Authors:
Seyedeh Sahar Sadrizadeh
nematollah zarmehi, farokh marvasti, saeed gazor
Submitted On:
7 November 2019 - 3:48pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Sahar Sadrizadeh.pdf

(34)

Keywords

Subscribe

Send Author a Private Message
[1] nematollah zarmehi, farokh marvasti, saeed gazor, "A Fast Iterative Method for Removing Sparse Noise from Sparse Signals", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4926. Accessed: Jan. 22, 2020.
@article{4926-19,
url = {http://sigport.org/4926},
author = {nematollah zarmehi; farokh marvasti; saeed gazor },
publisher = {IEEE SigPort},
title = {A Fast Iterative Method for Removing Sparse Noise from Sparse Signals},
year = {2019} }
TY - EJOUR
T1 - A Fast Iterative Method for Removing Sparse Noise from Sparse Signals
AU - nematollah zarmehi; farokh marvasti; saeed gazor
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4926
ER -
nematollah zarmehi, farokh marvasti, saeed gazor. (2019). A Fast Iterative Method for Removing Sparse Noise from Sparse Signals. IEEE SigPort. http://sigport.org/4926
nematollah zarmehi, farokh marvasti, saeed gazor, 2019. A Fast Iterative Method for Removing Sparse Noise from Sparse Signals. Available at: http://sigport.org/4926.
nematollah zarmehi, farokh marvasti, saeed gazor. (2019). "A Fast Iterative Method for Removing Sparse Noise from Sparse Signals." Web.
1. nematollah zarmehi, farokh marvasti, saeed gazor. A Fast Iterative Method for Removing Sparse Noise from Sparse Signals [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4926

Dynamic Guidance For Depth Map Restoration

Ran Zhu

Paper Details

Authors:
Ran Zhu
Submitted On:
23 September 2019 - 9:03am
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

Dynamic Guidance For Depth Map Restoration-RanZhu(paper id 80).pdf

(37)

Keywords

Subscribe

Send Author a Private Message
[1] , "Dynamic Guidance For Depth Map Restoration", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4821. Accessed: Jan. 22, 2020.
@article{4821-19,
url = {http://sigport.org/4821},
author = { },
publisher = {IEEE SigPort},
title = {Dynamic Guidance For Depth Map Restoration},
year = {2019} }
TY - EJOUR
T1 - Dynamic Guidance For Depth Map Restoration
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4821
ER -
. (2019). Dynamic Guidance For Depth Map Restoration. IEEE SigPort. http://sigport.org/4821
, 2019. Dynamic Guidance For Depth Map Restoration. Available at: http://sigport.org/4821.
. (2019). "Dynamic Guidance For Depth Map Restoration." Web.
1. . Dynamic Guidance For Depth Map Restoration [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4821

RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY

Maryam Haghighat

In this work we explore an overcomplete representation of
multiview imagery for the purpose of compression. We
present a rate-distortion (R-D) driven approach to decompose
multiview datasets into two additive parts which can
be interpreted as being the diffuse and specular components.
We apply different transforms to each component such that
the compressibility of input data is improved. We describe
a framework which performs the R-D optimized separation
in a registered domain to avoid the complexity of warping

Paper Details

Authors:
Maryam Haghighat
Maryam Haghighat, Reji Mathew and David Taubman
Submitted On:
21 September 2019 - 7:18am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICIP2019_Haghighat_Poster.pdf

(40)

Keywords

Subscribe

Send Author a Private Message
[1] Maryam Haghighat, Reji Mathew and David Taubman, "RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4805. Accessed: Jan. 22, 2020.
@article{4805-19,
url = {http://sigport.org/4805},
author = {Maryam Haghighat; Reji Mathew and David Taubman },
publisher = {IEEE SigPort},
title = {RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY},
year = {2019} }
TY - EJOUR
T1 - RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY
AU - Maryam Haghighat; Reji Mathew and David Taubman
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4805
ER -
Maryam Haghighat, Reji Mathew and David Taubman. (2019). RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY. IEEE SigPort. http://sigport.org/4805
Maryam Haghighat, Reji Mathew and David Taubman, 2019. RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY. Available at: http://sigport.org/4805.
Maryam Haghighat, Reji Mathew and David Taubman. (2019). "RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY." Web.
1. Maryam Haghighat, Reji Mathew and David Taubman. RATE-DISTORTION DRIVEN SEPARATION OF DIFFUSE AND SPECULAR COMPONENTS IN MULTIVIEW IMAGERY [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4805

Influence of viewpoint on visual saliency models for volumetric content

Mona Abid
Perreira Da Silva Matthieu

In order to predict where humans look in a 3D immersive en- vironment, saliency can be computed using either 3D saliency models or view-based approaches (2D projection). In fact, building a 3D complete model is still a challenging task that is not investigated enough in the research field while 2D imag- ing approaches have been extensively studied and have shown solid performances.

Paper Details

Authors:
Mona Abid
Perreira Da Silva Matthieu
Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet
Submitted On:
20 September 2019 - 3:59am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Lecture_ICIP_2019.pdf

(26)

Keywords

Additional Categories

Subscribe

Send Author a Private Message
[1] Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet, " Influence of viewpoint on visual saliency models for volumetric content", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4763. Accessed: Jan. 22, 2020.
@article{4763-19,
url = {http://sigport.org/4763},
author = {Mona Abid; Matthieu Perreira Da Silva; Patrick Le Callet },
publisher = {IEEE SigPort},
title = { Influence of viewpoint on visual saliency models for volumetric content},
year = {2019} }
TY - EJOUR
T1 - Influence of viewpoint on visual saliency models for volumetric content
AU - Mona Abid; Matthieu Perreira Da Silva; Patrick Le Callet
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4763
ER -
Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet. (2019). Influence of viewpoint on visual saliency models for volumetric content. IEEE SigPort. http://sigport.org/4763
Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet, 2019. Influence of viewpoint on visual saliency models for volumetric content. Available at: http://sigport.org/4763.
Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet. (2019). " Influence of viewpoint on visual saliency models for volumetric content." Web.
1. Mona Abid, Matthieu Perreira Da Silva, Patrick Le Callet. Influence of viewpoint on visual saliency models for volumetric content [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4763

HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES


Analysis of hand skeleton data can be used to understand patterns in manipulation and assembly tasks. This paper introduces a graphbased representation of hand skeleton data and proposes a method to perform unsupervised temporal segmentation of a sequence of subtasks in order to evaluate the efficiency of an assembly task. We explore the properties of different choices of hand graphs and their spectral decomposition. A comparative performance of these graphs is presented in the context of complex activity segmentation.

Paper Details

Authors:
Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa
Submitted On:
10 May 2019 - 1:50pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICASSPposter2019_PratyushaDas.pdf

(43)

Keywords

Subscribe

Send Author a Private Message
[1] Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa, "HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4381. Accessed: Jan. 22, 2020.
@article{4381-19,
url = {http://sigport.org/4381},
author = {Jiun-Yu Kao; Antonio Ortega; Tomoya Sawada; Hassan Mansour; Anthony Vetro; Akira Minezawa },
publisher = {IEEE SigPort},
title = {HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES},
year = {2019} }
TY - EJOUR
T1 - HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES
AU - Jiun-Yu Kao; Antonio Ortega; Tomoya Sawada; Hassan Mansour; Anthony Vetro; Akira Minezawa
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4381
ER -
Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa. (2019). HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES. IEEE SigPort. http://sigport.org/4381
Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa, 2019. HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES. Available at: http://sigport.org/4381.
Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa. (2019). "HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES." Web.
1. Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa. HAND GRAPH REPRESENTATIONS FOR UNSUPERVISED SEGMENTATION OF COMPLEX ACTIVITIES [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4381

RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION

Jing Zhao

Paper Details

Authors:
Jing Zhao
Jing Zhao; Jiyu Xie; Ruiqin Xiong
Submitted On:
7 October 2018 - 10:53pm
Short Link:
Type:
Event:

Document Files

Poster_RESIDUAL_SIGNALS_MODELING_FOR_LAYERED_ SOFTCAST_WITH_HYBRID_DIGITAL-ANALOG_TRANSMISSION.pdf

(57)

Keywords

Subscribe

Send Author a Private Message
[1] Jing Zhao; Jiyu Xie; Ruiqin Xiong, " RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3605. Accessed: Jan. 22, 2020.
@article{3605-18,
url = {http://sigport.org/3605},
author = {Jing Zhao; Jiyu Xie; Ruiqin Xiong },
publisher = {IEEE SigPort},
title = { RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION},
year = {2018} }
TY - EJOUR
T1 - RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION
AU - Jing Zhao; Jiyu Xie; Ruiqin Xiong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3605
ER -
Jing Zhao; Jiyu Xie; Ruiqin Xiong. (2018). RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION. IEEE SigPort. http://sigport.org/3605
Jing Zhao; Jiyu Xie; Ruiqin Xiong, 2018. RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION. Available at: http://sigport.org/3605.
Jing Zhao; Jiyu Xie; Ruiqin Xiong. (2018). " RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION." Web.
1. Jing Zhao; Jiyu Xie; Ruiqin Xiong. RESIDUAL SIGNALS MODELING FOR LAYERED IMAGE/VIDEO SOFTCAST WITH HYBRID DIGITAL-ANALOG TRANSMISSION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3605

Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework

Krishan Sharma

Paper Details

Authors:
Krishan Sharma
Submitted On:
15 April 2018 - 12:22pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

ICASSP_3200.pdf

(238)

Keywords

Subscribe

Send Author a Private Message
[1] , "Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2898. Accessed: Jan. 22, 2020.
@article{2898-18,
url = {http://sigport.org/2898},
author = { },
publisher = {IEEE SigPort},
title = {Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework},
year = {2018} }
TY - EJOUR
T1 - Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2898
ER -
. (2018). Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework. IEEE SigPort. http://sigport.org/2898
, 2018. Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework. Available at: http://sigport.org/2898.
. (2018). "Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework." Web.
1. . Scene Image Classification using ReducedVirtual Feature Representation in Sparse Framework [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2898

Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement

Nils Genser

Paper Details

Authors:
Nils Genser
Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup
Submitted On:
15 September 2017 - 4:29am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:

Document Files

poster_landscape.pdf

(299)

Keywords

Subscribe

Send Author a Private Message
[1] Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup, "Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2108. Accessed: Jan. 22, 2020.
@article{2108-17,
url = {http://sigport.org/2108},
author = {Nils Genser; Jürgen Seiler; Markus Jonscher; André Kaup },
publisher = {IEEE SigPort},
title = {Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement},
year = {2017} }
TY - EJOUR
T1 - Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement
AU - Nils Genser; Jürgen Seiler; Markus Jonscher; André Kaup
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2108
ER -
Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup. (2017). Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement. IEEE SigPort. http://sigport.org/2108
Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup, 2017. Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement. Available at: http://sigport.org/2108.
Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup. (2017). "Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement." Web.
1. Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup. Demonstration of Rapid Frequency Selective Reconstruction for Image Resolution Enhancement [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2108

Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment

Nils Genser

Paper Details

Authors:
Nils Genser
Nils Genser, Jürgen Seiler, André Kaup
Submitted On:
15 September 2017 - 4:30am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:

Document Files

ICIP-2017_Genser.pdf

(294)

Keywords

Subscribe

Send Author a Private Message
[1] Nils Genser, Jürgen Seiler, André Kaup, "Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2106. Accessed: Jan. 22, 2020.
@article{2106-17,
url = {http://sigport.org/2106},
author = {Nils Genser; Jürgen Seiler; André Kaup },
publisher = {IEEE SigPort},
title = {Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment},
year = {2017} }
TY - EJOUR
T1 - Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment
AU - Nils Genser; Jürgen Seiler; André Kaup
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2106
ER -
Nils Genser, Jürgen Seiler, André Kaup. (2017). Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment. IEEE SigPort. http://sigport.org/2106
Nils Genser, Jürgen Seiler, André Kaup, 2017. Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment. Available at: http://sigport.org/2106.
Nils Genser, Jürgen Seiler, André Kaup. (2017). "Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment." Web.
1. Nils Genser, Jürgen Seiler, André Kaup. Scaled Fixed-Point Frequency Selective Extrapolation for Fast Image Error Concealment [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2106

Granularity-Based Interactive Image Display

Mei-Chen Yeh

This paper presents a prototype system that assists users in accessing an unstructured image set (e.g., search results of a query). The system provides a spectrum of overviews, each of which is determined by the display granularity (i.e., the level of summary) an user desires. This new functionality enables a new granularity-based interactive image browsing experience.

Paper Details

Authors:
Mei-Chen Yeh
Geng-Zhi Wildsky Fann
Submitted On:
11 September 2017 - 3:16am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

icip17_demo.pdf

(289)

Keywords

Subscribe

Send Author a Private Message
[1] Geng-Zhi Wildsky Fann, "Granularity-Based Interactive Image Display", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1895. Accessed: Jan. 22, 2020.
@article{1895-17,
url = {http://sigport.org/1895},
author = {Geng-Zhi Wildsky Fann },
publisher = {IEEE SigPort},
title = {Granularity-Based Interactive Image Display},
year = {2017} }
TY - EJOUR
T1 - Granularity-Based Interactive Image Display
AU - Geng-Zhi Wildsky Fann
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1895
ER -
Geng-Zhi Wildsky Fann. (2017). Granularity-Based Interactive Image Display. IEEE SigPort. http://sigport.org/1895
Geng-Zhi Wildsky Fann, 2017. Granularity-Based Interactive Image Display. Available at: http://sigport.org/1895.
Geng-Zhi Wildsky Fann. (2017). "Granularity-Based Interactive Image Display." Web.
1. Geng-Zhi Wildsky Fann. Granularity-Based Interactive Image Display [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1895

Pages