Paper
18 January 2010 Differences of digital camera resolution metrology to describe noise reduction artifacts
Author Affiliations +
Proceedings Volume 7529, Image Quality and System Performance VII; 75290L (2010) https://doi.org/10.1117/12.838743
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Noise reduction in the image processing pipeline of digital cameras has a huge impact on image quality. It may result in loss of low contrast fine details, also referred to as texture blur.Previous papers have shown, that the objective measurement of the statistical parameter kurtosis in a reproduction of white Gaussian noise with the camera under test correlates well with the subjective perception of these ramifications. To get a more detailed description of the influence of noise reduction on the image, we compare the results of different approaches to measure the spatial frequency response (SFR). Each of these methods uses a different test target, therefore we get different results in the presence of adaptive filtering. We present a study on the possibility to derive a detailed description of the influence of noise reduction on the different spatial frequency sub bands based on the differences of the measured SFR using several approaches. Variations in the underlying methods have a direct influence on the derived measurements, therefore we additionally checked for the differences of all used methods.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uwe Artmann and Dietmar Wueller "Differences of digital camera resolution metrology to describe noise reduction artifacts", Proc. SPIE 7529, Image Quality and System Performance VII, 75290L (18 January 2010); https://doi.org/10.1117/12.838743
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Cited by 11 scholarly publications.
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KEYWORDS
Denoising

Cameras

Modulation transfer functions

Spatial frequencies

Modulation

Stars

Image processing

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