Effectiveness of Digital Camera Sensors in Distinguishing Colored Surfaces in Outdoor Scenes

Foster, David H.; Marín-Franch, Iván

doi:10.1364/isa.2013.ith3d.2

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…First, [24] studies observer metamerism and illumination metamerism for a human observer. In other words, it does not study the metamerism of commercial cameras, which is the focus of our work (and other works from the same group [25,26]), and we study both sensor and observer metamerism for the camera sensors. Second, [24] does not use a spectral similarity measure, such as the weighted Nimerroff 's index, for determining if the pixel pairs are metameric or correspond to the same object.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Metrics and statistics of frequency of occurrence of metamerism in consumer cameras for natural scenes

Prasad

Wenhe

2015

J. Opt. Soc. Am. A

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This paper presents metrics and statistics of frequency of occurrence of metamerism in three consumer cameras, viz., Canon 1D Mark III, Nikon D40, and Sony α7, using spectral and RGB images of natural scenes. Both sensor metamerism and observer metamerism of the cameras' sensors are studied. We use the concept of dissimilarity of two spectral power distributions in the spectral domain and the RGB domain for studying the occurrence sensor metamerism. Specifically, we use angular difference and digital equivalence approaches for this purpose. For studying the occurrence observer metamerism, we use the weighted Nimeroff's index for dissimilarity in the spectral domain with respect to the CIE color space along with the conventionally used CIE LAB color difference for dissimilarity in the CIE color space. The statistics of the frequency of occurrence of metamerism are generated on a dataset of 423 spectral images of indoor scenes in 5 illumination conditions and outdoor scenes in natural illumination conditions. Experiments show that about 18%-22% of the pixels in the images are metameric in the sense of angular difference. It is also observed that 1%-4% of the colors that would have appeared similar to human eyes are reproduced as distinct colors in the cameras. Dataset and details can be found at https://sites.google.com/site/dilipprasad/source-codes.

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Section: Introduction and Related Workmentioning

confidence: 99%

Metrics and statistics of frequency of occurrence of metamerism in consumer cameras for natural scenes

Prasad

Wenhe

2015

J. Opt. Soc. Am. A

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Image quality degradation of object-color metamer mismatching in digital camera color reproduction

Qiu

et al. 2018

Appl. Opt.

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Metamer mismatching is a phenomenon where two objects that are colorimetrically indistinguishable under one lighting condition become distinguishable under another one. Due to the unavailability of spectral information, metamer mismatching introduces an inherent uncertainty into cameras' color reproduction. To investigate the degree of image quality degradation by the metamer mismatching, a large spectral reflectance database was compiled in this study to search the object-color metamers sets of the spectra in hyperspectral images. Then, metamer-degraded images were constructed and compared with the ground truth images by directional statistics-based color similarity index image quality assessment metrics to evaluate the perceptual image degradation. The results indicate that the object-color metamer mismatching has only little impact on the image quality degradation, whereas the inappropriate selection of color correction matrices involved with the illumination metamerism is the primary factor for the accuracy decrease in the digital camera color reproduction.

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Effectiveness of Digital Camera Sensors in Distinguishing Colored Surfaces in Outdoor Scenes

Cited by 2 publications

References 21 publications

Metrics and statistics of frequency of occurrence of metamerism in consumer cameras for natural scenes

Metrics and statistics of frequency of occurrence of metamerism in consumer cameras for natural scenes

Image quality degradation of object-color metamer mismatching in digital camera color reproduction

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