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=Introduction= | =Introduction= | ||
Motivate the problem. Describe what has been done in the past. | Motivate the problem. Describe what has been done in the past. | ||
=Background= | |||
What is known from the literature. | |||
= Methods = | |||
Describe techniques you used to measure and analyze. Describe the instruments, and experimental procedures in enough detail so that someone could repeat your analysis. What software did you use? What was the idea of the algorithms and data analysis? | |||
=Results= | |||
Organize your results in a good logical order (not necessarily historical order). Include relevant graphs and/or images. Make sure graph axes are labeled. Make sure you draw the reader's attention to the key element of the figure. The key aspect should be the most visible element of the figure or graph. Help the reader by writing a clear figure caption. | |||
=Conclusions= | |||
Describe what you learned. What worked? What didn't? Why? What should someone next year try? | |||
=References= | |||
List references. Include links to papers that are online. | |||
[1] Coral Watch Project http://www.coralwatch.org/ | |||
[2] Raimondo Schettini and Silvia Corchs, "Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods" EURASIP Journal on Advances in Signal Processing, Volume 2010, Article ID 746052, 14 pages | |||
[3] Brian A. Wandell, Foundations of Vision, Chapter 9. https://www.stanford.edu/group/vista/cgi-bin/FOV/chapter-9-color/#Linear_Models | |||
[4] Jong-Il Park, Moon-Hyun Lee, Michael D. Grossberg, and Shree K. Nayar "Multispectral Imaging Using Multiplexed Illumination" Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on | |||
=Appendix I= | |||
Upload source code, test images, etc, and give a description of each link. In some cases, your acquired data may be too large to store practically. In this case, use your judgement (or consult one of us) and only link the most relevant data. Be sure to describe the purpose of your code and to edit the code for clarity. The purpose of placing the code online is to allow others to verify your methods and to learn from your ideas. | |||
Image Systems Engineering Toolbox http://imageval.com/ | |||
Canon Hack Development Kit http://chdk.wikia.com/wiki/CHDK | |||
=Appendix II= | |||
(for groups only) - Work breakdown. Explain how the project work was divided among group members. | |||
Revision as of 00:12, 15 March 2014
http://white.stanford.edu/teach/index.php/Psych221_Project_Suggestions#Psf_analysis_and_image_deblurring_using_a_simulated_camera_lens Tony Wu, Samuel Yang
Back to Psych 221 Projects 2014
Psf analysis and image deblurring using a simulated camera lens
text
Introduction
Motivate the problem. Describe what has been done in the past.
Background
What is known from the literature.
Methods
Describe techniques you used to measure and analyze. Describe the instruments, and experimental procedures in enough detail so that someone could repeat your analysis. What software did you use? What was the idea of the algorithms and data analysis?
Results
Organize your results in a good logical order (not necessarily historical order). Include relevant graphs and/or images. Make sure graph axes are labeled. Make sure you draw the reader's attention to the key element of the figure. The key aspect should be the most visible element of the figure or graph. Help the reader by writing a clear figure caption.
Conclusions
Describe what you learned. What worked? What didn't? Why? What should someone next year try?
References
List references. Include links to papers that are online.
[1] Coral Watch Project http://www.coralwatch.org/
[2] Raimondo Schettini and Silvia Corchs, "Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods" EURASIP Journal on Advances in Signal Processing, Volume 2010, Article ID 746052, 14 pages
[3] Brian A. Wandell, Foundations of Vision, Chapter 9. https://www.stanford.edu/group/vista/cgi-bin/FOV/chapter-9-color/#Linear_Models
[4] Jong-Il Park, Moon-Hyun Lee, Michael D. Grossberg, and Shree K. Nayar "Multispectral Imaging Using Multiplexed Illumination" Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Appendix I
Upload source code, test images, etc, and give a description of each link. In some cases, your acquired data may be too large to store practically. In this case, use your judgement (or consult one of us) and only link the most relevant data. Be sure to describe the purpose of your code and to edit the code for clarity. The purpose of placing the code online is to allow others to verify your methods and to learn from your ideas.
Image Systems Engineering Toolbox http://imageval.com/
Canon Hack Development Kit http://chdk.wikia.com/wiki/CHDK
Appendix II
(for groups only) - Work breakdown. Explain how the project work was divided among group members.