Adaptive Compression Algorithm for Full Colour Three Dimensional Integral Images PDF Download
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Author: Ramona Zaharia
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Category :
Languages : en
Pages :
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Author: Ramona Zaharia
Publisher:
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Category :
Languages : en
Pages :
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Author: Keshi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 224
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Author: Steve Shu Yu
Publisher:
ISBN:
Category :
Languages : en
Pages : 278
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Author: George Zweig
Publisher:
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Category :
Languages : en
Pages : 17
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We propose an adaptive compression enhancement scheme for images, that faithfully preserves edges that exist at certain scales. The image gradient is decomposed in a wavelet basis to locate edges at specific scales. Based on their location, the corresponding wavelet coefficients in the wavelet decomposition of the image are earmarked for preservation. A scale-space localized implementation of the gradient operator is derived in the wavelet transform domain, based on the Lemarie-Rieusset diagonalization of the derivative operator for functions of one variable. By decomposing an image with respect to a standard biorthogonal wavelet basis, we succeed in obtaining the gradient (edge) information in the image (with respect to associated hybrid biorthogonal wavelet bases) at certain desired scales only. There are several advantages to and applications of such a localized implementation of the gradient, apart from its computational efficiency. Adaptive compression of images based on edge-strengths at specific scales becomes possible, so that compression can be less in the neighborhood of edges at those scales at which its characteristics are best represented. Such preferential compression capability is useful for the compression of vast databases of oceanographic and astronomical images; faint edges characterizing interfaces between warm and cold ocean currents in satellite oceanographic images, and boundaries between interstellar dust and nebulae of subtly varying luminosities in astronomical images are important image features that need to be preserved with minimum distortion, while achieving significant compression in other parts of these images that correspond to known features such as land-ocean boundaries or familiar stars.
Author: Akmal A. Younis
Publisher:
ISBN:
Category : Diagnostic imaging
Languages : en
Pages : 208
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Author: Soumya Ranjan Nayak
Publisher: Elsevier
ISBN: 0443184690
Category : Computers
Languages : en
Pages : 320
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Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. - Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems - Explores the application of fractal theories to a wide range of medical image processing modalities - Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems
Author:
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Category :
Languages : en
Pages :
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Author: Kraig L. Anderson
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Category : Image processing
Languages : en
Pages : 144
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Author: Chou Hong Hong
Publisher:
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Category :
Languages : en
Pages : 102
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Author: Jungwoo Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 300
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