Subjective study of the influence of color information on visual quality assessment of high resolution pictures

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Touradj Ebrahimi

The document summarizes a subjective study that assessed how color information influences human visual quality judgments of compressed high-resolution images. Test subjects rated the quality of original images and their compressed versions, either as color images or with just luminance. Results showed a relevant difference in perceived quality between the two conditions, with luminance-only ratings being more optimistic. This suggests objective quality metrics should account for color to better correlate with subjective human judgments. The study provides evidence that color information is important for visual quality assessment.

Subjective study of the influence of color information on visual quality assessment of high resolution pictures Francesca De Simone a , Frederic Dufaux a , Touradj Ebrahimi a , Cristina Delogu b , Vittorio Baroncini b a École Polytechnique Fédérale de Lausanne, Switzerland b Fondazione Ugo Bordoni, Italy

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction

[object Object],[object Object],[object Object],Observation objective quality metric capture and processing color pictures end user only luminance component experience, expectations, … . QUALITY RATE COLOR WORLD

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],State of the art [1] C. Chou et al. “A Fidelity Metric for Assessing Visual Quality of Color Images”, Aug. 2007. [2] P. Le Callet et al. “A robust quality metric for color image quality assessment”, Sept. 2003. [3] C. Charrier et al. “A psychovisual color image quality metric integrating both intra and inter channel masking effect”, Sept. 2004.

[object Object],[object Object],[object Object],[object Object],[object Object],Motivations behind this study

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Goal and main challenges

Proposed test methodology

[object Object],Test material presentation and rating (I) Reference Image Test Image ,[object Object],[object Object],[object Object],[object Object]

Test material presentation and rating (II) ,[object Object],[object Object],Rating window

Test material presentation and rating (III) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Test room set up ,[object Object],[object Object],[object Object],[object Object],[object Object]

Test material selection

Starting point ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[4] Dataset established by Microsoft and available for JPEG members at http://www.jpeg.org.

Selection of original images ,[object Object],[object Object],[object Object],[object Object],[object Object],image 09 image 12 image 23 image 17

Selection of compressed images ,[object Object],[object Object],[object Object],[object Object],[object Object]

Final test dataset ,[object Object],[object Object],[object Object],[object Object],[object Object]

Results

Subjective data processing ,[object Object],[object Object],[object Object],[object Object],[object Object],[5] ITU-R Rec. BT.1663 “Expert viewing methods to assess the quality of systems for the digital display of LSDI in theatres”.

Presentation of results ,[object Object],[object Object],[object Object],[object Object]

Results for image 09 Coding complexity level = 1 (simple)

Results for image 12 Coding complexity level = 2

Results for image 23 Coding complexity level = 3

Results for image 17 Coding complexity level = 4 (difficult)

Conclusions

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Achievements and future work

Thank you for your attention! Questions?

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A NOVEL METRIC APPROACH EVALUATION FOR THE SPATIAL ENHANCEMENT OF PAN-SHARPEN...

Basics of image processing & analysis

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Information search using text and image query

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Comparison of compression efficiency between HEVC and VP9 based on subjective...

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Quality of Experience in emerging visual communications

Quality of Experience in emerging visual communications

Quality of Experience in emerging visual communications

Privacy protection of visual information

Privacy protection of visual information

Privacy protection of visual information

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Security and Trust in social media networks

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Rate distortion performance of VP8 (WebP and WebM) when compared to standard ...

Subjective study of the influence of color information on visual quality assessment of high resolution pictures

1. Subjective study of the influence of color information on visual quality assessment of high resolution pictures Francesca De Simone a , Frederic Dufaux a , Touradj Ebrahimi a , Cristina Delogu b , Vittorio Baroncini b a École Polytechnique Fédérale de Lausanne, Switzerland b Fondazione Ugo Bordoni, Italy

2.

3. Introduction

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8. Proposed test methodology

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13. Test material selection

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21. Results for image 09 Coding complexity level = 1 (simple)

22. Results for image 12 Coding complexity level = 2

23. Results for image 23 Coding complexity level = 3

24. Results for image 17 Coding complexity level = 4 (difficult)

25. Conclusions

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27. Thank you for your attention! Questions?