Pixel and Edge Based Lluminant Color Estimation

Pixel and Edge Based Lluminant Color Estimation Pixel and Edge Based Lluminant Color Estimation for Image Forgery Detection Shahana N youseph  and Dr.Rajesh Cherian Roy ABSTRACT Digital images are one of the powerful tools for communication. So Image security is a key issue when use digital images. With the development of powerful photo-editing software, such as Adobe Photoshop Light room 4, Apple Aperture 3, Corel PaintShop Pro X5, GIMP 2.8, photo manipulation is becoming more common. In this paper mainly detecting forged peoples in images. The main idea for the detection is, different images are captured under different illuminant condition, when combining these image fragments from different images, it is difficult to match the illumination conditions. This inconsistency of illumination leads to forgery detection. The main contribution of this method of forgery detection is how illuminant color can be used as a clue for forgery detection. The proposed method will be able to detect forgery using Linear SVM classification, with 70%-75% of accuracy. Keywords Pixel based illuminant color estimation; Edge based illuminant color estimation, I. INTRODUCTION Every day, millions of digital documents are produced by a variety of devices. They are distributed by newspapers, magazines, websites and television etc. In all these information channels, images are a powerful way for communication. It is not difficult to use computer graphics and image processing techniques to manipulate or to forge images. Video footage, scanned images, as well as digital and analogue images can be the target for manipulations. From a forensics perspective, several changes in a photograph are widely acceptable for improve the quality of images, e. g. to enhance the contrast, denoise an image, or highlight important regions etc.Forensics Science is a department for criminal investigation in distinct areas such as digital forensics, analogue forensics, multimedia forensics, network forensics etc.Image Forgery is the process of creating doctored/fake images, with the development of advanced image processing software’s such as Adobe Photoshop Light room 4, App le Aperture 3, Corel PaintShop Pro X5, GIMP 2.8 etc forgeries in images is easy process. Image Forgery detection is Active and Passive. Digital watermarking is an example of active. The passive image forgery detection is a blind approach, which means it does not have any prior knowledge of input image. There are various methods used for the checking of authenticity of images. In this paper the method used is based on illumination. When light fall on an object color of the object is reflected, depends on illuminant color/light color. Objects having different color in different illumination condition. So when we forge an image or making composite of various images it is very difficult to maintain the consistency of illumination. Illumination is one of the criteria for forgery detection. Some other criteria’s are used for passive image forgery detection such as, JPEG compression properties, Projective geometry, Chromatic aberration, Color filter array (CFA) and inter pixel corre lation etc. Literature Survey Table1. Illuminant Color Based methods Proposed Method First step is cropping face of the input image. This proposed method is mainly detecting forged peoples in an image. The estimation of the illuminant color is error-prone and it is affected by the materials in the scene, the illuminant color estimates on objects of similar material exhibit a lower relative error.Thus,the illuminant color detection to skin, mainly to faces. Pigmentation is the most obvious difference in skin characteristics. Second step is illuminant colour estimation, explained in next section. Fourth step is generation of illuminant map. Image is segmented with graph cut segmentation. Illuminant color is estimated using static methods on each segmented output with same index number. Based on the estimated illuminant color, apply it for the segments with same index number. The resulting output will be RGB components. This coloured representation of image with R G B components is termed as Illuminant Map. Fifth step is shape and colour feature extraction. For shape fe ature HOG Edge feature is used. An edge of illuminant map is extracted using various edge detection methods. Histogram of Oriented Gradients of edge points. For colour feature extraction. Colour Moments feature is used. Moments with first and second moments are extracted. Last step is SVM classification. Classify the illumination for each pair of faces in an image as either consistent or inconsistent. Assuming all selected faces are illuminated by the same light source, Train the SVM with two class with one class is for forged image and other for original image.When testing operation performed based on the test feature value image is classify either forged or original. ILLUMINANT COLOR ESTIMATION Pixel Based Illuminant Color Estimation Pixel values of the entire are taken for illuminant color estimation. In this methods focussed on low level features. Such as Grey World, Max-RGB, Shades of grey. Simple and less complex calculation is used for the estimation, with the help of some static variables. So it is also known as static illuminant color estimation. Grey World Hypothesis: In Grey World, Illuminant color is estimated from Average Pixel values of images. Under a neutral light source or white light source, Average reflectance of the entire image is achromatic (Having no colors), if any deviation from this condition is due to color of illumination. This average reflected color will be the color of the light source. Max-RGB Hypothesis: In Max-RGB, illuminant color estimated from maximum response of Red Green Blue (RGB) channel. Maximum response is obtained from perfect reflectance. A surface having perfect reflectance property will respond (reflect) for the full range of light colors it captures, when light incident on it. Then this reflected color is actually the color of light source. Shades of Grey: Grey world and the max-RGB illuminant color estimation in terms of Minkowski norm, is called shades of gray. , If p=1 Grey World Estimation If p=∞ Max-RGB Estimation If p=6 Shades of Grey Estimation Edge Based Illuminant Color Estimation Edge based illuminant color estimation is use low or higher order derivatives. In this methods edges and colors towards illuminant direction. In order to accurately estimate color of light source is use the pixel and edge points that coincide the illuminant direction. Highlights produce such types of points. In edge based estimation contains Grey edge and Weighted Grey edge estimation are used. In Weighted grey edge methods, using some weighting fuction to the edges. For that classifying the edges based on the photometric properties, material edges (e.g. edges between objects and object-background edges), shadow/shading edges (e.g. edges caused by the shape or position of an object with respect to the light source) and specular edges (i.e. highlights).These edges perform better influence on illuminant estimation. In Weighted Grey edge methods computing weighted average of edge points. The iterative weighting scheme is proposed, and by assigning this weighting scheme in to the grey ed ge method, the color of the light source is estimated. Edge based illuminant color estimation mainly contain, †¢ First Order Grey Edge †¢ Second Order Grey Edge †¢ Weighted Grey Edge First Order Grey Edge: The pth Minkowski norm of the first derivative of the reflectance in a scene is estimated. Computed by, Second Order Grey Edge: The pth Minkowski norm of the second derivative of the reflectance in a scene is estimated. Weighted Grey-Edge: Weighted Grey-Edge algorithm is computed by assigning a weighting function to the illuminant estimate. This weighting function is estimated by classifying edges based on the photometric properties and an iterative edge weighting scheme is generated. †¢ Derivative order x: the assumption that the average of the illuminants is achromatic can be extended to the absolute value of the sum of the derivatives of the image. †¢ Minkowski norm p: instead of simply adding intensities or derivatives, respectively, greater robustness can be achieved by computing the p-th Minkowski norm of these values. †¢ Gaussian smoothing ÏÆ': to reduce image noise, one can smooth the image prior to processing with a Gaussian kernel of standard deviation. Specular Edge Weighting scheme: Specular weighting scheme is the ratio of the energy in the specular variant versus the total amount of derivative energy. This ratio translates to the specular edge weighting scheme given by: , where , Results To check the accuracy of forgery detection using SVM classifier with SVM is trained with 50 forged and 50 original images and SVM is tested using total of 50 images where 25 are original and 25 are composite images downloaded from different websites in the Internet.SVM is trained several times for several testing process. First set of forgery detection testing is done with various illuminant estimation methods such as Grey World, MAX-RGB, Shades Of Grey and Grey Edge First and Second Order and weighted grey edge with shape feature and color feature extraction separately. In shape feature called HOG Edge use various edge detection methods such as Canny, Roberts, Prewitt, and Sobel for the comparative study. And finally the combination of color moment and HOG Edge is tested for forgery detection. Confusion matrix is generated accuracy is calculated. Accuracy=TP+TN/(TP+TN+FP+FN) Where, True Positive (TP) input-Forged, Output-Forged True Negative (TN)- input-not forged ,output-not forged False Positive (FP) -input-forged, output-not forged False Negative (FN)-input-not forged, output-forged . Table 2. Estimated Accuracy Of fogery detection with Various Illuminant Color Estimation Methods From the above result, when using all static illuminant color estimation method for forgery detection Weighted grey edge peform well when compare with other methods. Feature extraction used is HOG Edge and Color moments features for shape and color feature extraction. If use one feature extraction method only get 50%-64% of accuracy. If use combined HOG Edge and Color Moments features accuracy is improved to 66%-74%. Conclusions Presented a new method for detecting forged images of people using the illuminant color Estimation. Estimate the illuminant color using Pixel and Edge based Illuminant estimation method, and generation of illuminant map. Canny edge detector are used to obtain edges of illuminant map for the extraction of shape features using HOG Edge descriptor, which is used to get Histogram of oriented Gradients of edge points. For color feature extraction use color moments features. These two features are tested separately with different illuminant estimation method for the comparative study. Combination of these two features is also used for forgery detection for the comparative study.From the result it is clear that combined HOG Edge and color features get more accuracy than method used shape and color features separately.Accuracy is Estimated using SVM Classifier.The Combined feature extraction with Weighted grey edge testing process get 74% of accuracy. The proposed method requires only a mini mum amount of human interaction and provides a crisp statement on the authenticity of the image. Additionally, it is a significant advancement in the exploitation of illuminant color as a forensic cue. Prior color-based work either assumes complex user interaction or imposes very limiting assumptions. FUTURE WORK The accuracy of the classification can be improved by using adding more content based features. Use of training based illuminant color estimation also improves accuracy. References [1] Hany Farid ,à ¢Ã¢â€š ¬-Image Forgery Detection [A survey]à ¢Ã¢â€š ¬-, IEEE signal processing magazine March- 2009 [2] C. Riess and E. Angelopoulou, à ¢Ã¢â€š ¬Ã¢â‚¬ ¢Scene illumination as an indicator of image manipulation,à ¢Ã¢â€š ¬- Inf. Hiding, vol. 6387, pp. 66–80, 2010. [3] Gajanan K. Birajdar ,Vijay H. Mankar ,à ¢Ã¢â€š ¬-Digital image forgery detection using passiv techniques: A surveyà ¢Ã¢â€š ¬-Elsevier 2013 . [4] J. van de Weijer, T. Gevers, and A. Gijsenij, à ¢Ã¢â€š ¬Ã¢â‚¬ ¢Edge-based color constancy,à ¢Ã¢â€š ¬- IEEE Trans. Image Process., vol. 16, no. 9, pp. 2207–2214, Sep. 2007. [5] M. Johnson and H. 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What Is Anthropology? How Is It Done? Essay -- Anthropology Essays

What Is Anthropology? How Is It Done? People enter the field of anthropology for a variety of reasons. Some people enter the field by accident. This means that they did not intend on becoming an anthropologist. Some people were interested in the field from the start. One person married a social anthropologist; and, after living with a group of people for two years wrote an ethnography about the people. The first story is about Adrienne Zihlman. She is a paleoanthropologist. She collects all kinds of bones; so, she can "contrive and test ideas about the origins of humans by studying the remains of living things" (Shell 1991:37). Zihlman went to Miami University of Ohio, where she decided to major in anthropology after reading Margaret Mead's book, "Coming of Age in Samoa" (Shell 1991:38). Since Miami University didn't have an anthropology department, she transferred to the University of Colorado (Shell 1991:38). After graduating in 1962, she went to do graduate work at Berkeley (Shell 1991:38). This is where she decided to focus herself on finding out how our ancestors began to walk (Shell 1991:38). Zihlman has ideas about how we came to be that are contradictory to what most people believe (Shell 1991:37). Zihlman says that tasks completed by females, like food gathering and infant care, were as equally likely as hunting by males, to have been the cause for bipedalism and social relationships (Shell 1991:37­38). When she started her doctoral research, she had the belief that two­legged walking came to be to allow more efficient movement on long hunting trips (Shell 1991:38). Zihlman completed her thesis in 1967 and started thinking that there was something wrong with the male dominated theories about the past (S... ...rchaeology", Encyclopedia of Cultural Anthropology, Vol. 1., Henry Holt & Company, New York, 1996, Pgs. 74. Durrenberger, E. Paul, "Ethnography", Encyclopedia of Cultural Anthropology, Vol. 2, Henry Holt & Company, New York, 1996, Pgs. 416­419. Fernea, Elizabeth Warnock, Guests of the Sheik, Doubleday, New York, 1965, Pgs. ix­5. Lee, Richard B., The Dobe Ju/'hoansi, Harcourt Brace College Publishers, Philadelphia, 1993, Pgs. iii & 2. Reimer, Toni­Tripp, "Nursing", Encyclopedia of Cultural Anthropology, Vol. 3, Henry Holt & Company, New York, 1996, Pgs. 877,879­880). Rosenthal, Elisabeth, "The Forgotten Female", Discover, December 1991, Pgs.23­27. Shell, Ellen Ruppel, "Flesh & Bone", Discover, December 1991, Pgs. 37­42. Winick, Charles, Dictionary of Anthropology, Philosophical Library, New York, 1956, Pgs.398,436.

Eth-125 Week 9 Final Prject

Individual Final Project: Kristopher Freitag Race and ethnicity and understanding its differences helped me achieve a certain amount of levity with the way I interact with others. America is extremely diverse, yet have an abundance of things in common. This is shown throughout history and right outside our doors, America, where our towns and cities are filled to the brim with personalities and of difference race and ethnicity share this culture that we call American society.I have learned to put a haul to being short sited and while I learned little about my own cultural history, the most important thing is to ensure you do not ignore it. Too many people have prejudged notions and are set in their own cultural history and views, but once one looks into it, there are vastly more things one has not realized and learned. It's hard to believe going in to the class that you would be so naive and ignorant to realize how close we are to one another, and how our struggles of differences have brought us closer together.For myself a Caucasian male, there is little to learn about my ethnicity, however as my wife is Hispanic we have grown closer as I have learned more from her and her â€Å"peeps† as she calls them, than most will ever realize. Learning about your own cultural can be beneficial, however I see more benefit in knowing another's, this in turn shows a level of respect for their own history and not a complete overlook of any walks of life they may have come from. The trends in immigration in the United States are very predictable and continue to grow exponentially.Immigration growth is expected to remain high within the United States, as people love this country of ours, and will continue to move here because of its values and most important of all, its freedom. Yes, America is not perfect, but it is considered the mother country and I don't think that reputation is going away soon. People must prepare for the continuing growth of immigration by integrat ing language, culture, and other small differences into our society. This is included in our schools, businesses, television, newspapers, and other outlets.For example, there should be language translations on bus stop signs or restaurant menus, etc. The high note of this exchange of culture will be the limited about of prejudice one can claim against â€Å"the white man† as in essence will become the minorities. Ironically, I see this as a good thing, America was founded on immigrants, I see an equal parts share the most compelling idea. Having the freedom to chose your own path and religion in the United States is why we are the fastest growing nation, it is time we embraced our differences and allow them to create a new life for us.The challenge the United States faces because of its diversity are ever changing and ever growing conflicts within its very own borders. We all want something to enhance lives, some better pay, some more freedom, legalization, marriage, the dive rsity of the things we fight for are vast in and of themselves. As we move forward we will have to begin to negotiate with all of these conflict and make a peaceful resolution available to the people and their demands, otherwise we will plunge ourselves back down into a civil war, of which I am not interested in.The ironic side of this, is if we as a society, as a country, as one can stand up and say this will happen and this is how it will be, than we might just unify our differences and permits the first generation of Americans to be born into a country where we work together, not against one another. The different cultural backgrounds integrated into one community, the different experiences we may learn from each other, the possibilities are endless, but if we compare our society to those of old, the expansion of war introduced new cultures and knowledge, why cannot we do the same without the ar.By simply being civil and tolerant and respectful to one another and treating each ot her as we would want to be treated. I think rudeness is at all time high. I am reading a book The Civility Solution ; it has much superior info. I think if we educate ourselves on this subject ; share what we are learning it will spread quickly. I was in a restaurant this evening ; my waitress was at the table next to mine ; I heard her use the word CRAP. I couldn't belief she said that, she did. What would make a person say that when she is talking to people about food. So raising consciousness is the way to go.I think experience is important & when people learn from experience it is the best teacher. Many who live far out away from others are moving in to the more populated areas & that will help. When you need help & the person who helps is not in the body or from the geographical area you love you start loving them anyway. Inevitably media stereotypes are often utilized in order to provide for a specific effect, especially in the entertainment, advertising, and news industries, which need a wide curtain to attract as large an audience as possible to quickly interpret information.Stereotypes protracted in the media can have negative side effect and become problematic. They can reduce the vast range of cultural differences in people to overly simplistic categorizations and transforming assumptions about particular groups into â€Å"realities† are engaged to justify the position of those in charge and perpetuate social prejudice and inequality The cultural groups being stereotyped are not given any opportunity to influence how they are represented.This is common within the media, regardless of style, show or channel, stereotypes and some causes of stereotypical portrayals, include a lack of diversity behind the scenes. However the basis for this creation of appreciation induced by the media is not without saying, the focus aimed at minorities of all ethnicities, families, and the appreciation for freedom, this lack of anger that can be pushed into our televisions, movies, and commercials is a method of uniting Americans and their differences.Only through an acknowledgment of our differences will the prejudicial learning's and educational services be made the misinformation to be openly discussed and approached with in a way which is likely to foster change. It is clear however, that if we can't talk about these differences and problems in their portrayal, we surely can't change it. Sigmund Freud, the famous Austrian physician changed the whole face of psychology in such a dramatic way by putting forward a theory of personality that stressed on the importance of the unconscious mind.The work he completed with patients suffering from mental disabilities like hysteria led him to theorize that our early childhood as well as our unconscious thoughts and actions contribute toward the development of our personalities and overall adult behavior. Changing an entire groups prejudiced attitudes, views and beliefs and an institution's racist actions is not simply fixed overnight.Reducing our racial prejudice as a society and racism is a complex task that changes in notions from community to community, so it doesn't offer a straight-forward approach, a step by step process that can be adopted and integrated without having a complete understanding of the environment and social context. This action would require knowing your community well and being able to choose a strategy that will best fit your own community's needs, history, context, energies, and resources, as a one size fits all will not work in this matter.

Psychology Transitions And Challenges In Adulthood Free Essay Example, 1000 words

By being accorded the privileges to participate in the democratic process by voting and vying for elective seats such as college representatives and community/church leaders, young adults assume the role of being the key force that steers the community. In their transition from adolescent to adulthood, adolescents undergo a number of developmental stages crucial to life. The adolescent is characterized by raging hormones and often misunderstood as confused. In the development to adulthood, however, it is expected that this hormonal imbalance subsides and paves way for emotional maturity. This is the key distinctive developmental process between the two phases of human development. An adolescent/teenager definitely faces the most challenging stage of life. Some of the prominent processes excluding emotional maturity include; assuming responsibilities, cognitive neural development, and identity development, building romantic relationships and strengthening of family ties. Generally, a ll these stages in the adult transformation to adulthood are inevitable for the average teenager. However, how each takes the responsibilities beforehand distinguishes their after-life in the adulthood circle. First, the assumption of responsibilities is crucial especially since these teenagers are preparing to become leaders in society (Maslach, C.We will write a custom essay sample on Psychology Transitions And Challenges In Adulthood or any topic specifically for you Only $17.96 $11.86/page By developing skills such as listening, understanding, sympathizing, social intelligence and critical thinking, one is able to assume adulthood much easier. An identity is one feature that defines the adult Cooney, T., Ann, J., Whitbourne S, B. During this transition period of young adulthood, the young adult has to develop an identity characterized by the peer influence the person yields to, the kind of spiritual development they undergo and the personal life experience especially relating to the past. An identity will ultimately determine the kind of career paths the young adult will most likely take and the feasibility of them sustaining a particular kind of life.