Image Steganography Techniques: Hiding messages in Images Introduction The word steganography is derived from the Greek words “stegos” meaning “cover” and “grafia” meaning “writing” defining it as “covered writing”. There are 5 kinds of Steganography: Text‚ Image‚ Audio/Video and Protocol (Joshi‚ R. et al. 2013). The term Steganography refers to the art of covert communications. By implementing steganography‚ it is possible for Alice to send a secret message to Bob in such a way that no-one else
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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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Abstract: Edge detection is an important feature in computer supervision and image processing. In this paper‚ we discuss several digital image processing techniques in edge feature extraction. Firstly‚we define keyterms‚such as image‚digitalimage‚edge‚ Image noiseetc.leading to certain methods of image de-noising and edge detection. Edge detection includes operators such as Sobel‚ Prewitt and Roberts. Secondly‚ a comparative study is made to show that the Sobel operator gives best results.Finally
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arithmetic errors due to overflow and truncation problems. What consequences could result from errors in image storage systems due to loss of image details? The consequences suffered from detail loss in images‚ due to an error in the storage systems hosting the data‚ depend on the criticality of the image and the decision tree for which it is being used. An incomplete (lack of detail) image containing crucial referential data can result in decisions being made based on a number of dangerous false
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IJLTEMAS VOLUME I ISSUE VII 2ICAE-2012 GOA Steganalysis and Image Quality Measures Neha Singh Assoc. Prof.‚ Department of Electronics and Communication Engineering Institute of Engineering and Technology Alwar‚ India Abstract—Steganography is the art/ science of covert communication and steganalysis is the counter to it. Though the first goal of steganalysis is detection of hidden message‚ there can be additional goals such as disabling‚ extraction and /or manipulating the original
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beautiful. Nevertheless‚ past literatures have shown that people being barraged with numerous idealized images may lower self- esteem and cause various psychological disorders. The purpose of this report is to investigate whether an increasing amount of media exposure will lead to body image distortion. A survey consisting of 45 questions regarding their attitudes towards the idealized images‚ their habits and perceptions were asked‚ which aims to evaluate the effect of the media. There were 40 participants
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with medical images that should also be kept private. Health Insurance Portability and Accountability initiated on April 14‚ 2013 by the federal government‚ establishes all relevant standards to address the issue of privacy protection. The HIPAA requires for integrity and confidentiality in all of current‚ previous and future from hospitals‚ doctors‚ and other relevant professionals. In an era where digital technology has become of major importance‚ there is a series of medical images that can now
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Yet parents play a crucial role in a child’s body image‚ development and how they view themselves. The topic of body image is an increasingly researched one‚ but shouldn’t parents do the research? Parents tend to be the lens when it comes to a child’s need or curiosity‚ but when the topic of body image – or anything relating to the body – it can come off as “awkward”‚ sometimes even the child and parent don’t want to discuss it‚ but body image and a parent’s involvement is very important‚ because
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Even though‚ the modern media has had many positive impacts on our lives‚ when it comes to women’s image‚ especially in commercial advertisements and programs‚ it usually has such misleading interpretations about the perfect images of beauty and the happiness of women. Thus‚ many women who have already been struggling with their uncertain self-identities have become even more insecure and unsatisfied with their “imperfect” physical appearances and their unrealized “ideal” life styles. Therefore
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1. (Extract Text from Image) Available Options There is great demand for extracting text from image files‚ and various procedures exist for such extraction. Apart from commonly available OCR software‚ there are several open source options available‚ and even free online websites. You can upload your image file to these sites‚ they extract the text and send the file back to you in your chosen format. Of course‚ you can also write your own customized OCR in programming languages such as C or Perl.
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