of girls developing eating disorders. The source of this unhappiness comes from‚ “images in the media today [that] project an unrealistic and even dangerous standard of feminine beauty that can have a powerful influence on the way women view themselves. From the perspective of the mass media‚ thinness is idealized and expected for women to be considered attractive’” (Serdar 2).The media’s portrayal of gaunt images must cease. To resolve this dispute‚ companies can change the standard of the models
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com/locate/eswa An efficient image interpolation increasing payload in reversible data hiding Chin-Feng Lee ⇑‚ Yu-Lin Huang Department of Information Management‚ Chaoyang University of Technology‚ Taichung 41349‚ Taiwan a r t i c l e i n f o a b s t r a c t Image interpolation is a very important branch in image processing. It is widely used in imaging world‚ for example‚ image interpolation is often used in 3-D medical image to compensate for information insufficiency during image reconstruction by
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International Journal of Recent Trends in Engineering‚ Vol. 1‚ No. 2‚ May 2009 Edge Detection Techniques for Image Segmentation – A Survey of Soft Computing Approaches N. Senthilkumaran1 and R. Rajesh2 School of Computer Science and Engineering‚ Bharathiar University‚ Coimbatore -641 046‚ India. 1 senthilkumaran@ieee.org‚ 2kollamrajeshr@ieee.org logical reasoning[1]. It has been applied to image processing in many ways[19]. Segmentation aims at dividing pixels into similar region i.e. crisp sets[4]
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THEO202_D12_201320 Final Essay Made In the Image of God The idea of the image of God dwells at the heart of the biblical doctrine of humanity. In that regarding to man‚ both male and female‚ in one form or another resembles the Creator‚ and therefore provides important and significant value and meaning for the human race. A biblical worldview and the image of God would have to begin with God in the book of Genesis‚ first chapter‚ verse one. It is seeing the world
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lists available at ScienceDirect Pattern Recognition journal homepage: www.elsevier.de/locate/pr Two-stage image denoising by principal component analysis with local pixel grouping Lei Zhang a‚Â Weisheng Dong a‚b‚ David Zhang a‚ Guangming Shi b a b Department of Computing‚ The Hong Kong Polytechnic University‚ Hong Kong‚ China Key Laboratory of Intelligent Perception and Image Understanding (Chinese Ministry of Education)‚ School of Electronic Engineering‚ Xidian University‚ China a
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not be directly observed. Though they are right about this‚ it is not impossible to measure how quickly mental rotations of images are processed in our brains. Subjects in this experiment were presented two shapes simultaneously‚ via computer screen‚ and asked to make judgement‚ as quickly as possible‚ as to whether the two shapes presented were the same or mirror images. Two different shapes were used in this experiment‚ each given as often as the other. During each trial one shape remained
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Ref. No.(((( Interviewer No._____ Survey on Body Image (Sample Questionnaire) PART I Please put a tick ( in the box that best reflects your opinion. 1. Are you aged over 25? ( Yes (Please continue answering question 2 in this part) ( No (This is the end of this survey. Thank you very much for your assistance!) 2. In general‚ are you satisfied with your body figure? (Interviewer please check the quota) ( Yes ( No PART II Please indicate
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Body Image Although there are people to contradict the claim that social media does not affect the views of adolescents on themselves and others‚ many writers‚ and psychologists argue that although social media may not be the only reason to the problem of body image dissatisfaction in adolescents‚ it is a contributor to the amount of adolescents dissatisfied with themselves.“Teenagers today face a growing discrepancy between their bodies and mediated role models” (Strasburger). Celebrities‚ Athletes
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A Project Report ON Image Enrichment using Java INSTITUTE OF TECHNOLOGY AND MANAGEMENT AL-1‚ SECTOR-7‚ GIDA‚ GORAKHPUR(U.P) SESSION 2013-14 SUBMITTED TO DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING INSTITUTE OF TECHNOLOGY & MANAGEMENT Team Member Amit Kumar Singh(Team Leader) Dipesh Kumar Surjit Pandey Project Guide Mr. Amit Kumar Kar Project Co-ordinator Mr. Rajeev Ranjan Kumar Tripathi Mr. Shailesh Patel Abstract The field of Image Processing refers to processing
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amount of data available. Image fusion provides an effective way of reducing this increasing volume of information while at the same time extracting all the useful information from the source images. Multi-sensor data often presents complementary information about the region surveyed‚ so image fusion provides an effective method to enable comparison and analysis of such data. The aim of image fusion‚ apart from reducing the amount of data‚ is to create new images that are more suitable for
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