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Search Publications by: Alfred S Carasso (Fed)

Displaying 26 - 33 of 33

Singular Integrals, Image Smoothness, and the Recovery of Texture in Image Deblurring

June 1, 2003

Author(s)

Alfred S. Carasso

Total variation (TV) image deblurring is a PDE-based technique that preserves edges, but often eliminates vital small-scale information or texture. This phenomenon reflects the fact that most natural images are not of bounded variation. The present paper

The Apex Method in Image Sharpening and the Use of Low Exponent Levy Stable Laws

January 1, 2003

Author(s)

Alfred S. Carasso

The APEX method is an FFT-based direct blind deconvolution technique that can process complex high-resolution imagery in a few minutes of cpu time on current desktop platforms. The method is predicated on a restricted class of shift-invariant blurs that

APEX Method and Real-Time Blind Deconvolution of Scanning Electron Microscope Imagery

October 1, 2002

Author(s)

Alfred S. Carasso, David S. Bright, Andras Vladar

Loss of resolution due to image blurring is a major concern in electron microscopy. The point spread function describing that blur is generally unknown. Wer discuss the use of a recently developed fast Fourier transform (FFT)-based direct (noniterative)

The APEX Method and Real-Time Blind Deconvolution of Scanning Electron Microscope Imagery

November 1, 2001

Author(s)

Alfred S. Carasso, D S. Bright, Andras Vladar

Loss of resolution due to image blurring is a major concern in electron microscopy. The point spread function describing that blur is generally unknown. This paper discusses the use of a recently developed FFT-based direct blind deconvolution procedure

Direct Blind Deconvolution II. Substitute Images and the Beak Method

November 1, 2000

Author(s)

Alfred S. Carasso

The BEAK method is an FFT-based direct blind deconvolution technique previously introduced by the author, and applied to a limited but significant class of blurs that can be expressed as convolutions of 2-D symmetric L vy probability density functions

Image Compression and Deblurring

May 1, 2000

Author(s)

Anastase Nakassis, Alfred S. Carasso

What follows is the description of an experiment in which we investigated the possibility that blurring techniques and lossless compression could be combined as an alternative to lossy compression techniques for still images. Our results show that while

Direct Blind Deconvolution

November 1, 1999

Author(s)

Alfred S. Carasso

Blind deconvolution seeks to deblur an image without knowing the cause of the blur. Iterative methods are commonly applied to that problem, but the iterative process is slow, uncertain, and often ill-behaved. This paper considers a significant but limited

Logarithmic Convexity and the 'Slow Evolution' Constraint in Ill-Posed Initial Value Problems

January 15, 1999

Author(s)

Alfred S. Carasso

This paper examines a wide class of ill-posed initial value problems for partial differential equations, and surveys logarithmic convexity results leading to Hoelder-continuous dependence on data for solutions satisfying prescribed bounds. The discussion