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Image forgery detection algorithms are used to verify the authenticity of digital images. In literature, different algorithms have been proposed to detect the authenticity of an image, for example, methods based on copy-move forgery detection, histogram analysis, methods based on color filter array, etc. The objective of this paper is to present an image forgery detection algorithm based on color...
The additional information approaches, multiple image approaches and the single-image approaches are some of the techniques present for the removal of the haze. The first two methods are expensive one and has high computational complexity. Recently single image approach is used for this de-hazing process because of its flexibility and low cost. Bi-orthogonal wavelet transform is used to obtain the...
The exponential growth and proliferation of the MOOC platform in recent years has facilitated easy access to advanced learning materials in the form of video lectures across almost all major specializations. The ever expanding outreach of internet has further boosted the utility and attraction of this medium of learning across the globe. Handheld devices like i-pad and e-notebooks can be used to access...
Human face detection plays considerably important role in various biometric applications like crowd surveillance, photography, human-computer interaction, tracking, automatic target recognition, artificial intelligence and various security applications. Varying illumination conditions, color variance, brightness, pose variations are major challenging problems for facial detection. Skin color based...
Image fusion technique integrates suitable information from various modalities of input images into a fused distinct image where the resultant image provides better information in comparison with the input images which are used for fusion and is more appropriate for visual perception. This work presents an image fusion method which performs wavelet decomposition for both PET and MRI images with different...
Restoring the actual colors in images also called color constancy technique is still an open area of research in digital image processing. Many techniques has been proposed so far in order to improve the accuracy of the color constancy techniques further. This paper has presented a comparison between some well known latest color constancy techniques. The review has clearly shown that each technique...
Since the computer is developed we are using mouse for cursor movement. In this era of touch screen devices human machine interaction is very important factor nowadays. Many devices are developed which can be operated without touching the system. So there should be any system in computer and laptop also to operate them without touching physically. So in this paper we have described new concept named...
Infrared (IR) thermography is used in many fields such as environment, military, industry, etc. IR thermography has the ability to detect the problems before they occurs and especially helpful to detect the overloads, worn and circuit brakes. It is unique because of it measurement and its accuracy. In this paper we are proposing this technique in flow detection in pipe-lines and extract the effected...
This paper presents algorithm for character extraction of paper printed characters using MATLAB computation software with image processing toolbox. The printed paper is digitized using digital camera. Inconsistent lighting conditions while digitizing the paper severely affects the result. The main focus of this paper is to extract the characters in various illumination conditions. The planned method...
Visual Cryptography (VC) is a technique to hide visual information (images, printed text etc.) within images. This technique was introduced by Noar's in Eurocrypt-1994. It is a new type of secret sharing technique. This paper propose a visual cryptography scheme that encodes a set of T >= 2 secrets into two rectangular shares. The T secrets can be reconstructed one by one, by superimposing the...
Diabetic Retinopathy (DR) is the primary cause of visual loss in case of diabetic patients. It is mainly caused by the changes in the blood vessels of the retina even though manual screening is available but they are very much time consuming and inefficient. Therefore for automatic detection of these changes and prevention of vision loss, color retinal image is an important tool used by the ophthalmologist...
The color space conversion employs a significant function in preprocessing phase of digital image processing. Color conversion can improve the quality of images. The color space conversion is used in various applications such as commercial, multimedia, computer vision, visual tracking systems etc. The objective is to convert one color space to another and the inverse of same. Various color space conversions...
Foreground Detection is one of the critical parts in the field of Computer Vision that aims to identify changes in the image sequences and to separate the foreground image from their background image. It is an arrangement of systems that typically examine the video sequences progressively and are recorded with a stationary camera. To detect brain tissue at early stage, a robotized framework utilizing...
Rheumatoid arthritis (RA) is one of the systemic autoimmune disorders characterized by chronic inflammation in multiple joints eventually leading to bone erosion and cartilage damage. The main symptoms are (i) morning stiffness (ii) joint swelling (iii) inflammation (iv) neovascularisation (v) cell infiltration and (vi) synovial hyperplasia. Early diagnosis helps in the effective treatment of the...
A fascinating issue in a digital forensic investigation is that given a digital video, would it be conceivable to recognize the camera model which was utilized to get the video. In this paper we take a simplified form of this issue by attempting to recognize recordings caught by a predetermined number of camera models. We propose various features which could be utilized by a classifier to distinguish...
This paper presents the framework to solve the problem of blind image de-convolution process in YUV color space. Different techniques had been employed to aspire the problem of blind image de-convolution for regular RGB color images, here we extend the work for the YUV color spaces. Apart from RGB color space, YUV color space consist uncorrelated channels, the Luminous channel has no correlation with...
The applications based on image processing for plant disease recognition and classification is the wide area of research these days. These applications are useful for timely recognition of plant disease. The disease like fungal, bacterial and virus are the destructive disease for any plant. In the study, five types of tomato diseases i.e. tomato late blight, Septoria spot, bacterial spot, bacterial...
Paddy being the staple food of India is majorly affected by deficiency of primary nutrient elements like nitrogen, phosphorus and potassium. Leaves can be deficient with multiple nutrient elements at a same time. This can alter natural color of paddy leaves. Such leaves are considered as defective. The proposed work is to automate multiple nutrient element deficiency identification of paddy leaves...
Nowadays, abroad trade has expanded definitely in numerous nations. Plenty fruit products are foreign from alternate countries, for example, oranges, apples and so forth. Manual distinguishing proof of infected fruit is extremely tedious. The utilization of image processing procedures is of outstanding implication for the analysis of agro based applications. In any case, detection of infections in...
One of the challenges faced in video retrieval is accurately detecting and extracting the objects in motion. The properties of the moving objects from the query clip are obtained, represented quantitatively, and compared to the corresponding features of the moving objects in the videos stored in the database. If a large number of features match, it generally indicates that the objects are similar...
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