Paper
22 September 2015 Restoration of hot pixels in digital imagers using lossless approximation techniques
O. Hadar, A. Shleifer, E. Cohen, Y. Dotan
Author Affiliations +
Abstract
During the last twenty years, digital imagers have spread into industrial and everyday devices, such as satellites, security cameras, cell phones, laptops and more. “Hot pixels” are the main defects in remote digital cameras. In this paper we prove an improvement of existing restoration methods that use (solely or as an auxiliary tool) some average of the surrounding single pixel, such as the method of the Chapman-Koren study 1,2. The proposed method uses the CALIC algorithm and adapts it to a full use of the surrounding pixels.
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O. Hadar, A. Shleifer, E. Cohen, and Y. Dotan "Restoration of hot pixels in digital imagers using lossless approximation techniques", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 959931 (22 September 2015); https://doi.org/10.1117/12.2186101
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KEYWORDS
Imaging systems

Image compression

Error analysis

Raster graphics

Cameras

Image quality

Image segmentation

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