Paper
27 February 2015 Fast HDR image upscaling using locally adapted linear filters
Hossein Talebi, Guan-Ming Su, Peng Yin
Author Affiliations +
Proceedings Volume 9404, Digital Photography XI; 94040H (2015) https://doi.org/10.1117/12.2083408
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
A new method for upscaling high dynamic range (HDR) images is introduced in this paper. Overshooting artifact is the common problem when using linear filters such as bicubic interpolation. This problem is visually more noticeable while working on HDR images where there exist more transitions from dark to bright. Our proposed method is capable of handling these artifacts by computing a simple gradient map which enables the filter to be locally adapted to the image content. This adaptation consists of first, clustering pixels into regions with similar edge structures and second, learning the shape and length of our symmetric linear filter for each of these pixel groups. This new filter can be implemented in a separable fashion which perfectly fits hardware implementations. Our experimental results show that training our filter with HDR images can effectively reduce the overshooting artifacts and improve upon the visual quality of the existing linear upscaling approaches.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hossein Talebi, Guan-Ming Su, and Peng Yin "Fast HDR image upscaling using locally adapted linear filters", Proc. SPIE 9404, Digital Photography XI, 94040H (27 February 2015); https://doi.org/10.1117/12.2083408
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KEYWORDS
Image filtering

Linear filtering

High dynamic range imaging

Visualization

Image quality

Image resolution

Lawrencium

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