Paper
13 January 2012 Restoration of face images
Author Affiliations +
Abstract
Restoration techniques are applied to degraded face samples. The techniques considered are those of Wiener Filtering, Lucy Richardson deconvolution, Blind deconvolution and Constrained least squares filtering (CLSF). Images degraded by low blur, high blur and low blur with noise are experimented with and the results are expounded.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aparna Srinivasan "Restoration of face images", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491U (13 January 2012); https://doi.org/10.1117/12.920993
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KEYWORDS
Deconvolution

Filtering (signal processing)

Image processing

Electronic filtering

Point spread functions

Image filtering

MATLAB

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