Titlebook: Intelligent Wavelet Based Techniques for Advanced Multimedia Applications; Rajiv Singh,Swati Nigam,Mohamed Elhoseny Book 2020 Springer Nat

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Rajiv Singh,Swati Nigam,Amit Kumar Singh,Mohamed Elhoseny information age: namely, the need for highly integrated radio systems that can be embedded in wireless devices for various applications, including portable mobile multimedia wireless communications, wireless appliances, digital cellular, and digital cordless. Traditionally, the design of radio IC’s

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Wavelets and Intelligent Multimedia Applications: An Introduction,ure. This aim can be achieved by analysis of state of the art methodologies of multimedia applications. Wavelet transforms have been found very useful in a large variety of multimedia applications. It ranges from simple imaging to complex computer vision applications. One of the major advantages of

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An Overview of Medical Image Fusion in Complex Wavelet Domain,pments in medical imaging sensors have been a great motivation for fusion due to their complementary nature. This chapter aims to address medical image fusion in complex wavelet domain and provides a detailed study of fusion methods. The wavelet transforms based fusion methods are ahead of other met

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Integration of Wavelet Transforms for Single and Multiple Image Watermarking,nt authentication are the major key factor that avoids illegal distribution of digital data. However, due to availability of high bandwidth network, copyright violation is very common and many copies of data can be illegally distributed over network. Thus, to ensure multimedia security, image waterm

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Object Tracking,. We have exploited newly emerged curvelet transform coefficients for video object tracking. Unlike existing methods, wavelet based tracking computes only wavelet coefficients and do not get affected by variations in object’s shape, size or color. However, we assumed that size of object does not cha

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Camouflaged Person Identification,classifier. Multiresolution property of wavelet transform provides invariant person identification against camouflaged scenes and do not get affected by similar foreground and background objects. Flexibility of wavelet and SVM makes the proposed method robust while providing better efficiency. For e