Noise patches comparison for the four images in Figure 8.

Predicting image quality using a modular image difference model

Orfanidou, M.
Triantaphillidou, S.
Allen, E.
Orfanidou, M.
Triantaphillidou, S.
Allen, E.

January 2008

The paper is focused on the implementation of a modular color image difference model, as described i...

Visual comparison using 180 projections.

Zhenglin Wang (3443006)
Jinhai Cai (3163281)
William Guo (5514248)
Martin Donnelley (286375)
David Parsons (4029998)
Ivan Lee (3029790)

December 2018

(A) original image with Gaussian noise; (B) FBP; (C) BPF; (D) BPF-W; (E) BPWD; (F) BPWD-W.</p

The same data set and configuration as in Figure 4, rendered with a noise reduction filter.

Thomas Kroes (317222)
Frits H. Post (317224)
Charl P. Botha (317226)

February 2013

By applying the noise reduction during the initial iterations, the objectionable noise at the sta...

Soft contrast and conspicuity comparison for (a) FBP with sharp kernel filtering, (b) FBP with soft kernel filtering, (c) Least-Squares solution after -iteration, and (d) Total Variation (TV) image after -iteration with (c) initialization .

Synho Do (659417)
William Clem Karl (659418)
Sarabjeet Singh (659419)
Mannudeep Kalra (659420)
Tom Brady (659421)
Ellie Shin (659422)
Homer Pien (659423)

November 2014

Soft contrast and conspicuity comparison for (a) FBP with sharp kernel filtering, (b) FBP with so...

Illustration of the different image noise characteristics.

Christian von Falck (281953)
Vesela Bratanova (281954)
Thomas Rodt (185444)
Bernhard Meyer (281955)
Stephan Waldeck (281956)
Frank Wacker (281957)
Hoen-oh Shin (281958)

February 2013

Illustration of the different noise characteristics using the iterative algorithm ‘I30f’ with inc...

Spatial resolution bar pattern comparison: (a) FBP (sharp kernel) and (b) TV with high fidelity term image with proposed model (111) are displayed in HU.

Synho Do (659417)
William Clem Karl (659418)
Sarabjeet Singh (659419)
Mannudeep Kalra (659420)
Tom Brady (659421)
Ellie Shin (659422)
Homer Pien (659423)

November 2014

(a) shows clear separations of 4, 6, and 8 and (b) presents improved resolution showing 10 and 1...

PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9% with an increase of 2%) for different image types (T1w, T2w, and PD) and patch sizes (radius of 1, 2, and 3).

Xinyuan Zhang (578548)
Guirong Hou (578549)
Jianhua Ma (486317)
Wei Yang (109917)
Bingquan Lin (578550)
Yikai Xu (578551)
Wufan Chen (177958)
Yanqiu Feng (578552)

June 2014

PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9%...

Comparison of raw images and images that were denoised using Noise2Void.

Martijn A. de Jong (17896732)
Esmée Adegeest (6388142)
Noémie M. L. P. Bérenger-Currias (15453795)
Maria Mircea (11930068)
Roeland M. H. Merks (10142789)
Stefan Semrau (6388154)

February 2024

A: Image of raw data (top panel) and denoised data (bottom panel) at t = 1. A cropped image (505 × 5...

Four local patches are sampled to show their patch size time series (unit: pixels) N, change in patch size over time (unit: pixels) C, boxplots of C and PSD of pixel intensity series. The pixel intensity series is .

Zhiwei Wang (120259)
Xin Yang (104842)
Kwang-Ting Cheng (4242097)

May 2018

Four local patches are sampled to show their patch size time series (unit: pixels) N, change in p...

Shape and level of the noise floor depends on the pixel size and SNR.

Michael Mell (6058076)
Francisco Monroy (449000)

December 2018

(A) Illustration of the inverse scaling behavior of the spectrum with pixel size. 1 × px corresponds...

The reconstructed results of different methods on Brain image from noisy and undersampled Fourier data (noise level: 30 dB and sampling ratio: 20%).

Pengfei Liu (136115)
Liang Xiao (215043)
Jun Zhang (48506)

September 2015

(A) Original image; (B) TV-FISTA result; (C) HDTV2-MM result; (D) HDTV2-FBS result; (E) the zoome...

Comparison experimental results in the scene with strong clutters and noise.

Haibin Duan (448776)
Yimin Deng (448777)
Xiaohua Wang (255149)
Chunfang Xu (448778)

August 2013

(A) The original scene.(B) Image after lateral inhibition filtering. (C) Image after high-pass fi...

Band-limited contrast in natural images explains the detectability of changes in the amplitude spectra

Tolhurst, D.J.
Tadmor, Y.

December 1997

AbstractThe psychophysical task of discriminating changes in the slopes of the amplitude spectra of ...

Visual quality comparison: TV(top row) and TF(bottom row).

Haewon Nam (4102705)
Minghao Guo (667684)
Hengyong Yu (154822)
Keumsil Lee (6199481)
Ruijiang Li (830188)
Bin Han (45760)
Lei Xing (129950)
Rena Lee (6199484)
Hao Gao (154820)

January 2019

From left to right, reconstruction results by the sampling step size is set to 1, 4, 8, and 16. TV r...

Subjective Assessment of Global Picture-Wise Just Noticeable Difference

Lin, Hanhe
Jenadeleh, Mohsen
Chen, Guangan
Reips, Ulf-Dietrich
Hamzaoui, Raouf
Saupe, Dietmar

January 2020

The picture-wise just noticeable difference (PJND) for a given image and a compression scheme is a s...

Predicting image quality using a modular image difference model

Orfanidou, M.
Triantaphillidou, S.
Allen, E.
Orfanidou, M.
Triantaphillidou, S.
Allen, E.

January 2008

The paper is focused on the implementation of a modular color image difference model, as described i...

Visual comparison using 180 projections.

Zhenglin Wang (3443006)
Jinhai Cai (3163281)
William Guo (5514248)
Martin Donnelley (286375)
David Parsons (4029998)
Ivan Lee (3029790)

December 2018

(A) original image with Gaussian noise; (B) FBP; (C) BPF; (D) BPF-W; (E) BPWD; (F) BPWD-W.</p

The same data set and configuration as in Figure 4, rendered with a noise reduction filter.

Thomas Kroes (317222)
Frits H. Post (317224)
Charl P. Botha (317226)

February 2013

By applying the noise reduction during the initial iterations, the objectionable noise at the sta...

Soft contrast and conspicuity comparison for (a) FBP with sharp kernel filtering, (b) FBP with soft kernel filtering, (c) Least-Squares solution after -iteration, and (d) Total Variation (TV) image after -iteration with (c) initialization .

Synho Do (659417)
William Clem Karl (659418)
Sarabjeet Singh (659419)
Mannudeep Kalra (659420)
Tom Brady (659421)
Ellie Shin (659422)
Homer Pien (659423)

November 2014

Soft contrast and conspicuity comparison for (a) FBP with sharp kernel filtering, (b) FBP with so...

Illustration of the different image noise characteristics.

Christian von Falck (281953)
Vesela Bratanova (281954)
Thomas Rodt (185444)
Bernhard Meyer (281955)
Stephan Waldeck (281956)
Frank Wacker (281957)
Hoen-oh Shin (281958)

February 2013

Illustration of the different noise characteristics using the iterative algorithm ‘I30f’ with inc...

Spatial resolution bar pattern comparison: (a) FBP (sharp kernel) and (b) TV with high fidelity term image with proposed model (111) are displayed in HU.

Synho Do (659417)
William Clem Karl (659418)
Sarabjeet Singh (659419)
Mannudeep Kalra (659420)
Tom Brady (659421)
Ellie Shin (659422)
Homer Pien (659423)

November 2014

(a) shows clear separations of 4, 6, and 8 and (b) presents improved resolution showing 10 and 1...

PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9% with an increase of 2%) for different image types (T1w, T2w, and PD) and patch sizes (radius of 1, 2, and 3).

Xinyuan Zhang (578548)
Guirong Hou (578549)
Jianhua Ma (486317)
Wei Yang (109917)
Bingquan Lin (578550)
Yikai Xu (578551)
Wufan Chen (177958)
Yanqiu Feng (578552)

June 2014

PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9%...

Comparison of raw images and images that were denoised using Noise2Void.

Martijn A. de Jong (17896732)
Esmée Adegeest (6388142)
Noémie M. L. P. Bérenger-Currias (15453795)
Maria Mircea (11930068)
Roeland M. H. Merks (10142789)
Stefan Semrau (6388154)

February 2024

A: Image of raw data (top panel) and denoised data (bottom panel) at t = 1. A cropped image (505 × 5...

Four local patches are sampled to show their patch size time series (unit: pixels) N, change in patch size over time (unit: pixels) C, boxplots of C and PSD of pixel intensity series. The pixel intensity series is .

Zhiwei Wang (120259)
Xin Yang (104842)
Kwang-Ting Cheng (4242097)

May 2018

Four local patches are sampled to show their patch size time series (unit: pixels) N, change in p...

Shape and level of the noise floor depends on the pixel size and SNR.

Michael Mell (6058076)
Francisco Monroy (449000)

December 2018

(A) Illustration of the inverse scaling behavior of the spectrum with pixel size. 1 × px corresponds...

The reconstructed results of different methods on Brain image from noisy and undersampled Fourier data (noise level: 30 dB and sampling ratio: 20%).

Pengfei Liu (136115)
Liang Xiao (215043)
Jun Zhang (48506)

September 2015

(A) Original image; (B) TV-FISTA result; (C) HDTV2-MM result; (D) HDTV2-FBS result; (E) the zoome...

Comparison experimental results in the scene with strong clutters and noise.

Haibin Duan (448776)
Yimin Deng (448777)
Xiaohua Wang (255149)
Chunfang Xu (448778)

August 2013

(A) The original scene.(B) Image after lateral inhibition filtering. (C) Image after high-pass fi...

Band-limited contrast in natural images explains the detectability of changes in the amplitude spectra

Tolhurst, D.J.
Tadmor, Y.

December 1997

AbstractThe psychophysical task of discriminating changes in the slopes of the amplitude spectra of ...

Visual quality comparison: TV(top row) and TF(bottom row).

Haewon Nam (4102705)
Minghao Guo (667684)
Hengyong Yu (154822)
Keumsil Lee (6199481)
Ruijiang Li (830188)
Bin Han (45760)
Lei Xing (129950)
Rena Lee (6199484)
Hao Gao (154820)

January 2019

From left to right, reconstruction results by the sampling step size is set to 1, 4, 8, and 16. TV r...

Subjective Assessment of Global Picture-Wise Just Noticeable Difference

Lin, Hanhe
Jenadeleh, Mohsen
Chen, Guangan
Reips, Ulf-Dietrich
Hamzaoui, Raouf
Saupe, Dietmar

January 2020

The picture-wise just noticeable difference (PJND) for a given image and a compression scheme is a s...

Predicting image quality using a modular image difference model

Orfanidou, M.
Triantaphillidou, S.
Allen, E.
Orfanidou, M.
Triantaphillidou, S.
Allen, E.

January 2008

The paper is focused on the implementation of a modular color image difference model, as described i...

Visual comparison using 180 projections.

Zhenglin Wang (3443006)
Jinhai Cai (3163281)
William Guo (5514248)
Martin Donnelley (286375)
David Parsons (4029998)
Ivan Lee (3029790)

December 2018

(A) original image with Gaussian noise; (B) FBP; (C) BPF; (D) BPF-W; (E) BPWD; (F) BPWD-W.</p

The same data set and configuration as in Figure 4, rendered with a noise reduction filter.

Thomas Kroes (317222)
Frits H. Post (317224)
Charl P. Botha (317226)

February 2013

By applying the noise reduction during the initial iterations, the objectionable noise at the sta...

Noise patches comparison for the four images in <b>Figure 8</b>.

Abstract

Extracted data

Noise patches comparison for the four images in <b>Figure 8</b>.

Abstract

Extracted data

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