Results 161 to 170 of about 4,015,131 (203)
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Spatial relations in technical domains
Applied Intelligence, 1995When developing expert systems for technical domains, spatial information often has to be considered. Due to the nature of space in technical domains, special representations and special processing methods for spatial problems are needed. Recent work in this area includes some interesting approaches.
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Spatial domain morphological filtering for interpolation of the Fourier domain
Pattern Recognition Letters, 2018Abstract We establish here a method to partially recover the missing frequencies in data acquired through sub-sampling in the Fourier domain. Non-linear open and close operations are applied recursively to the raw spatial image estimated from its sparse Fourier samples. The mean of the open and closed images updates the estimated image after applying
Preeti Gopal, Imants D. Svalbe
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A transform domain approach to spatial domain image scaling
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002Straightforward techniques for spatial domain scaling of compressed video via decompression and re-compression are computationally expensive. We describe an alternative approach wherein the compressed stream is processed in the compressed, DCT domain without explicit decompression and spatial domain scaling, so that the output compressed stream ...
Neri Merhav, Vasudev Bhaskaran
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Spatial domain synthetic scene statistics
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014Natural Scene Statistics (NSS) has been applied to natural images obtained through optical cameras for automated visual quality assessment. Since NSS does not need a reference image for comparison, NSS has been used to assess user quality-of-experience, such as for streaming wireless image and video content acquired by cameras.
Debarati Kundu, Brian L. Evans
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Robust image watermarking in the spatial domain
Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nikos Nikolaidis 0001, Ioannis Pitas
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Image spatial transformation in DCT domain
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002In this paper, we report work on generalizing spatial relationships between the DCTs of any block and its sub-blocks, which paves the way for image processing in the JPEG compressed domain. The results reveal that DCT coefficients of any block can be directly obtained from the DCT coefficients of its sub-blocks and the inter-block relationship remains ...
Guocan Feng, Jianmin Jiang
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Quantum Image Filtering in the Spatial Domain
International Journal of Theoretical Physics, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuan, Suzhen +3 more
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Spatial Domain Watermarking Technique
Proceedings of the International Conference on Informatics and Analytics, 2016In the internet world (information) communication becomes more interactive and everything is in the form of digital. So information can be duplicated easily, to avoid this duplication, the watermarking technique has been used. Spatial domain watermarking technique carried out their watermarking process directly into the pixel of the original image that
K. Chitra 0002, V. Prasanna Venkatesan
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Spatial/kinematic domain and lattice computers
Journal of Experimental & Theoretical Artificial Intelligence, 1994Abstract An approach to analogical representation for objects and their motions in space is proposed. This approach involves lattice computer architectures and associated algorithms and is shown to be abstracted from the behaviour of human beings mentally solving spatial/kinematic puzzles.
John Case +2 more
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Sampling Gabor noise in the spatial domain
Proceedings of the 30th Spring Conference on Computer Graphics, 2014Gabor noise is a powerful technique for procedural texture generation. Contrary to other types of procedural noise, its sparse convolution aspect makes it easily controllable locally. In this paper, we demonstrate this property by explicitly introducing spatial variations.
Victor Charpenay +2 more
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