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  • 1
    Publication Date: 2000-10-01
    Print ISSN: 0031-9228
    Electronic ISSN: 1945-0699
    Topics: Physics
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  • 2
    Publication Date: 1991-09-01
    Print ISSN: 0020-0255
    Electronic ISSN: 1872-6291
    Topics: Computer Science
    Published by Elsevier
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  • 3
    Publication Date: 2011-08-24
    Description: We assess redundancy reduction in image coding in terms of the information acquired by the image-gathering process and the amount of data required to convey this information. A clear distinction is made between the theoretically minimum rate of data transmission, as measured by the entropy of the completely decorrelated data, and the actual rate of data transmission, as measured by the entropy of the encoded (incompletely decorrelated) data. It is shown that the information efficiency of the visual communication channel depends not only on the characteristics of the radiance field and the decorrelation algorithm, as is generally perceived, but also on the design of the image-gathering device, as is commonly ignored.
    Keywords: CYBERNETICS
    Type: In: Visual information processing II; Proceedings of the Meeting, Orlando, FL, Apr. 14-16, 1993 (A93-53022 23-63); p. 102-112.
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  • 4
    Publication Date: 2011-08-24
    Description: Multiresponse imaging is a process that acquires A images, each with a different optical response, and reassembles them into a single image with an improved resolution that can approach 1/sq rt A times the photodetector-array sampling lattice. Our goals are to optimize the performance of this process in terms of the resolution and fidelity of the restored image and to assess the amount of information required to do so. The theoretical approach is based on the extension of both image restoration and rate-distortion theories from their traditional realm of signal processing to image processing which includes image gathering and display.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: ; : Problems in the ae
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  • 5
    Publication Date: 2011-08-24
    Description: This paper presents an assessment of visual communication that integrates the critical limiting factors of image gathering and display with the digital processing that is used to code and restore images. The approach focuses on two mathematical criteria, information and fidelity, and on their relationships to the entropy of the encoded data and to the visual quality of the restored image.
    Keywords: COMPUTER PROGRAMMING AND SOFTWARE
    Type: In: Visual information processing; Proceedings of the Meeting, Orlando, FL, Apr. 20-22, 1992 (A93-32438 12-61); p. 145-154.
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  • 6
    Publication Date: 2011-08-24
    Description: This assessment of visual communication deals with image gathering, coding, and restoration as a whole rather than as separate and independent tasks. The approach focuses on two mathematical criteria, information and fidelity, and on their relationships to the entropy of the encoded data and to the visual quality of the restored image. Past applications of these criteria to the assessment of image coding and restoration have been limited to the link that connects the output of the image-gathering device to the input of the image-display device. By contrast, the approach presented in this paper explicitly includes the critical limiting factors that constrain image gathering and display. This extension leads to an end-to-end assessment theory of visual communication that combines optical design with digital processing.
    Keywords: SYSTEMS ANALYSIS
    Type: Journal of Visual Communication and Image Representation (ISSN 1047-3203); 4; 1; p. 62-78.
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  • 7
    Publication Date: 2011-08-24
    Description: A finer-than-sampling-lattice resolution image can be obtained using multiresponse image gathering and Wiener-matrix restoration. The multiresponse image gathering weighs the within-passband and aliased signal components differently, allowing the Wiener-matrix restoration filter to unscramble these signal components and restore spatial frequencies beyond the sampling passband of the photodetector array. A multiresponse images can be reassembled into a single minimum mean square error image with a resolution that is sq rt A times finer than the photodetector-array sampling lattice.
    Keywords: CYBERNETICS
    Type: In: Infrared imaging systems: Design, analysis, modeling, and testing II; Proceedings of the Meeting, Orlando, FL, Apr. 3-5, 1991 (A93-38351 15-35); p. 237-248.
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  • 8
    Publication Date: 2011-08-24
    Description: In this paper we integrate multiresolution decomposition with image gathering and restoration. This integration leads to a Wiener-matrix filter that accounts for the aliasing, blurring, and noise in image gathering, together with the digital filtering and decimation in signal decomposition. Moreover, as implemented here, the Wiener-matrix filter completely suppresses the blurring and raster effects of the image-display device. We demonstrate that this filter can significantly improve the fidelity and visual quality produced by conventional image reconstruction. The extent of this improvement, in turn, depends on the design of the image-gathering device.
    Keywords: COMMUNICATIONS AND RADAR
    Type: Journal of Visual Communication and Image Representation (ISSN 1047-3203); 3; 4; p. 356-363.
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  • 9
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    In:  Other Sources
    Publication Date: 2011-08-19
    Description: Shannon's mathematical theory of communication is extended to image gathering. Expressions are obtained for the total information that is received with a single image-gathering channel and with parallel channels. It is concluded that the aliased signal components carry information even though these components interfere with the within-passband components in conventional image gathering and restoration, thereby degrading the fidelity and visual quality of the restored image. An examination of the expression for minimum mean-square-error, or Wiener-matrix, restoration from parallel image-gathering channels reveals a method for unscrambling the within-passband and aliased signal components to restore spatial frequencies beyond the sampling passband out to the spatial frequency response cutoff of the optical aperture.
    Keywords: CYBERNETICS
    Type: Information Sciences (ISSN 0020-0255); 57-58; 245-285
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  • 10
    Publication Date: 2011-08-19
    Description: The Wiener filter is formulated as a function of the basic image-gathering and image-reconstruction constraints, thereby providing a method for minimizing the mean-squared error between the (continuous-input) radiance field and its restored (continuous-output) representation. This formulation of the Wiener filter is further extended to the Wiener-characteristic filter, which provides a method for explicitly specifying the desired representation. Two specific examples of Wiener filters are presented.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: Optical Society of America, Journal, A: Optics and Image Science (ISSN 0740-3232); 5; 300-314
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