研究生: |
張士文 Shih-Wen Chang |
---|---|
論文名稱: |
Preferred Color Reproduction of Image on Internet Preferred Color Reproduction of Image on Internet |
指導教授: |
紀佳芬
Chia-Fen Chi |
口試委員: |
王孔政
Kung-Jeng Wang 許總欣 Tsung-Shin Hsu |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 英文 |
論文頁數: | 76 |
外文關鍵詞: | PCR, Preferred Color Reproduction |
相關次數: | 點閱:166 下載:0 |
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Human preferred color is one important study of imaging science and psychology. The method of reproduce the image with human preferred color is called preferred color reproduction (PCR). PCR has been most utilized in some fields such as professional photography and commercial printing. However it was not well used in consumer photography. One reason is in the age of film photography, any imaging enhancement was professional technique which was not able to be reached by consumer.
The digital and internet evolutions have changed consumer photography. Also the behavior of storing and sharing of picture have changed.
This thesis was originated by the question: “Will that changes make the PCR much applicable?”
We designed an experiment to sample preference of the color data through the internet to eyes of observers. We conclude the model of image deliver through internet to display device and recognized by user as Netware-Sharing-Display-Recognition (NSDR) model.
The distribution and mean of sample frequency tell the deviation created in this NSDR model. The conclusion is the there is still deviation exists according to our finding. The deviation most comes from inconsistent LCD color and different viewing condition.
In the future the mobile internet users will be more than PC users. Many researches indicate that will happen in 5 years. At that time the NSDR model will be illustrated with only one mobile device and a cloud in the cycle. Processes of capturing, uploading, sharing and displaying will be done in one box. Moreover, the color process unit can be transferred from client device to cloud service. That will be the perfect environment for PRC.
Adobe Systems Inc. Image color measured by Photoshop 6.0
C. J. BARTLESON: “Some observations on the reproduction of fleshcolors. Photographic Science and Engineering”, 1959,3,114-11.
C. J. BARTLESON: “Memory Colors of Familiar Objects”. J. Opt. Soc. Am. Vol. 50, p73-77 (1960)
C. J. BARTLESON: “Color in memory in relation to photographic reproduction”. Photographic Science and Engineering, 1961,5,327-331.
C. J. BARTLESON & C. P. BRAY: “On the preferred reproductionof flesh, blue-sky, and green-grass colors. Photographic Scienceand Engineering”, 1962,6, 19-25.
DreamGrow Social Media: < http://www.dreamgrow.com/50-of-us-population-on-facebook-infographic/> April 2011
G. B. Buck and H.C. Froehlich: “Color characteristics of human complexions”. 1948
Mark Fairchild: "Color Appearance Models: CIECAM02 and Beyond." Tutorial slides for IS&T/SID 12th Color Imaging Conference.
P. Bodrogi P, T. Tarczali: “Colour memory for various sky, skin and plant colours: effect of image context”. 2001
R. W. G. Hunt, I. T. Pitt, L. M. Winter: “The preferred reproduction of blue sky, green grass and Caucasian skin in colour photography”. J. Phot Sci 1974
Mathew Ingram: “Mary Meeker: Mobile internet will soon overtake fixed internet” <http://gigaom.com/2010/04/12/mary-meeker-mobile-internet-will-soon-overtake-fixed-internet/>. 2010
NetMarketShare: Browser market share data <http://www.netmarketshare.com>. 2010
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Raymond Soneira: “Plasma versus LCD for Large Screen Monitors Comparison of Four Top-of-the-Line Flagship Models from Panasonic, Samsung, Sharp and Sony” Insight Media, 2008
S. Hendley & C. D. Hecht: “The colors of natural objects and terrains, and their relation to visual color deficiency”. 1949
Stephen E. Palmer1 and Karen B. Schloss: “An ecological valence theory of human color preference”. April 2010. Department of Psychology, University of California, Berkeley, CA 94720
Stoyan Stefanov: “A class to parse color values”@link http://www.phpied.com/rgb-color-parser-in-javascript/
Tim O’Reilly: "What is Web 2.0?" brainstorming session at FOO Camp 2005
TündeTarczali & Peter Bordrogi: “Investigation of colour memory. PH.D Dissertation. Doctor School of Information Science”, University of Pannonia. 2007