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1.
IEEE Trans Image Process ; 8(4): 527-36, 1999.
Article in English | MEDLINE | ID: mdl-18262896

ABSTRACT

We introduce a method for multichannel restoration of images in which there is severely limited knowledge about the undegraded signal, and possibly the noise. We assume that we know the channel degradations and that there will be a significant noise reduction in a postprocessing stage in which multiple realizations are combined. This post-restoration noise reduction is often performed when working with micrographs of biological macromolecules. The restoration filters are designed to enforce a projection constraint upon the entire system. This projection constraint results in a system that provides an oblique projection of the input signal into the subspace defined by the reconstruction device in a direction orthogonal to a space defined by the channel degradations and the restoration filters. The approach achieves noise reduction without distorting the signal by exploiting the redundancy of the measurements.

2.
IEEE Trans Image Process ; 8(12): 1796-806, 1999.
Article in English | MEDLINE | ID: mdl-18267455

ABSTRACT

The mathematical formulation of calibrating color image reproduction and recording devices is presented. This formulation provides a foundation for future research in areas of characterization of devices and display of color images. The importance of calibration is demonstrated by real examples. The procedure outlined in this paper should become standard for displaying color images for the image processing community.

3.
IEEE Trans Image Process ; 7(1): 129-33, 1998.
Article in English | MEDLINE | ID: mdl-18267388

ABSTRACT

In this correspondence, the problem of designing color scanning filters for multi-illuminant color recording is considered. The filter transmittances are determined from a minimum-mean-squared orthogonal tristimulus error criterion that minimizes the color error in estimates obtained from noisy recorded data. Nonnegativity constraints essential for physical realizability are imposed on the filter transmittances. In order to demonstrate the significant improvements obtained, the resulting filters are compared with suboptimal filters reported in earlier literature.

4.
Nat Struct Biol ; 4(5): 413-20, 1997 May.
Article in English | MEDLINE | ID: mdl-9145113

ABSTRACT

The three-dimensional structure of bovine papillomavirus has been determined to 9 A resolution by reconstruction of high resolution, low dose cryo-electron micrographs of quench-frozen virions. Although hexavalent and pentavalent capsomeres form star-shaped pentamers of the major capsid protein L1, they have distinct high-resolution structures. Most prominently, a 25 A hole in the centre of hexavalent capsomeres is occluded in the pentavalent capsomeres. This raises the possibility that the L2 minor capsid protein is located in the centre of the pentavalent capsomeres. Inter-capsomere connections approximately 10 A in diameter were clearly resolved. These link adjacent capsomeres and are reminiscent of the helical connections that stabilize polyomavirus.


Subject(s)
Bovine papillomavirus 1/ultrastructure , Capsid Proteins , Capsid/ultrastructure , Image Processing, Computer-Assisted/methods , Microscopy, Electron/methods , Animals , Cattle , Cryopreservation , Polyomavirus/ultrastructure
5.
IEEE Trans Image Process ; 4(6): 814-23, 1995.
Article in English | MEDLINE | ID: mdl-18290030

ABSTRACT

The effect of noise on the number of effective channels (color filters) used to record a color image is investigated. Transmittances of color filters are calculated that minimize the mean square error that occurs when estimating, from the recorded data, the colors in the image under a collection of viewing illuminants. Since the results indicate that a significant improvement in color correction accuracy is achieved by using four channels, there is good reason to consider using four-tuples for representation of colorimetric information.

6.
IEEE Trans Image Process ; 3(2): 147-61, 1994.
Article in English | MEDLINE | ID: mdl-18291916

ABSTRACT

The quality of color correction is dependent on the filters used to scan the image. This paper introduces a method of selecting the color filters using a priori information about the viewing illuminants. Color correction results using the derived filters are compared with color correction results using filters that are optimal for individual viewing and recording illuminants. The comparison is performed using the CIE PEL (L*a*b*) perceptual color difference measure. Applications of this work are found in the design of scanners, copiers, and television systems.

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