Developing a New Color Model for Image Analysis and Processing
Rashad J. Rasras, Ibrahiem M. M. El Emary, Dmitriy E. Skopin (2007)
Computer Science and Information Systems
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Displaying similar documents to “a functional analysis model for natural images permitting structured compression ”
Developing a New Color Model for Image Analysis and Processing
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International Journal of Applied Mathematics and Computer Science
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While most of state-of-the-art image processing techniques were built under the so-called classical linear image processing, an alternative that presents superior behavior for specific applications comes in the form of Logarithmic Type Image Processing (LTIP). This refers to mathematical models constructed for the representation and processing of gray tones images. In this paper we describe a general mathematical framework that allows extensions of these models by various means while...
A functional analysis model for natural images permitting structured compression
Jacques Froment (1999)
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An efficient algorithm for adaptive total variation based image decomposition and restoration
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Kim, Seongjai, Lim, Hyeona (2007)
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A new variational model for segmenting objects of interest from color images.
Zhai, Yanli, Wu, Boying, Zhang, Dazhi, Sun, Jiebao (2010)
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3D Point Pattern Matching Based on Spatial Geometric Flexibility
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Computer Science and Information Systems
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An efficient algorithm for adaptive total variation based image decomposition and restoration
Xinwu Liu, Lihong Huang (2014)
International Journal of Applied Mathematics and Computer Science
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With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H −1 norm fidelity based strategy for image decomposition and restoration. Computationally, for minimizing the proposed energy functional, we investigate an efficient numerical algorithm-the split Bregman method, and briefly prove its convergence. In addition, comparisons are also made with the classical OSV...