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Presents information on a study which proposed the use of vector quantizer encoder distortion in identifying image blur. Details on vector quantizer; Modeling of blur functions; Conclusion.

Presents information on a study which focused on an improved version of an algorithm designed to perform image restoration via nonlinear interpolative vector quantization (VQ). Theory and design of the nonlinear interpolative VQ image restoration algorithm; Codebook design and lapped decoding highlights; Simulation results; Conclusions.

Provides information on the presentation of a novel technique for image restoratin based on nonlinear interpolative vector quantization (NLVQ). Information on the image restoration; Detailed information on nonlinear VQ image restoration; Conclusion reached.

Dictionary methods have proved very useful in compressive sensing. Herein we show that, for dictionaries to represent the point spread functions (PSFs) of image formation in atmospheric turbulence, it is possible to construct dictionaries computationally. Computationally created dictionaries make unnecessary the exhaustive collection of PSF data, for arbitrarily large numbers of conditions of turbulence and optical image formation systems, while also reducing the overall number of dictionaries that need to be created and stored. [ABSTRACT FROM AUTHOR]