Journal Article10.1364/JOSAA.7.001969
Visual artifacts in chromatically subsampled images.
3
TL;DR: The spacing at which an image was mistaken half the time for a remembered original depended on image content and also on the color representation, and images with 16-fold reduction in the amount of chrominance information are still satisfactory in appearance.
read more
Abstract: Colors sampled in an array of pixels were converted into various luminance–chrominance representations, and the chrominance values were spatially subsampled to achieve a compression of the data. For viewing, the chrominance values were reinterpolated and then transformed back to RGB. For each of a range of image types and color spaces, we varied the chromatic sample spacing to determine how much compression would be possible before perceptual artifacts appeared, as determined by a panel of individual viewers. The spacing at which an image was mistaken half the time for a remembered original depended on image content and also on the color representation. Some color spaces, such as hue–lightness–saturation, a polar-coordinate color space, are inherently ill suited for chrominance averaging and produce noticeable artifacts on almost any image. Likewise, some images cannot be subsampled satisfactorily, regardless of the color space used. In general, however, images with 16-fold reduction in the amount of chrominance information (that is, a factor of 4 in each spatial direction) are still satisfactory in appearance.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Adaptive subsampling of color images
A.M. Murching,J.W. Woods +1 more
- 13 Nov 1994
TL;DR: An adaptive method of subsampling the chrominance components that improves the quality vs. sample rate trade-off is proposed and the advantage of using the adaptive method as against the conventional method is demonstrated.
10
Wavelet based motion compensated filtering of Color Video Sequences
TL;DR: This paper proposes an advanced wavelet domain denoising scheme for the Gaussian noise reduction in color video that performs better both from subjective (visually) and objective point of view and the estimated motion vector field is quite robust against noise.
6
Color image enhancement using both chromatic and luminance components
Hague,George Eric +1 more
- 01 Jan 1994
TL;DR: New algorithms for color histogram equalization, automatic white balance and color filtering are presented using the C-Y (color difference) color model, which produces improved white balanced results and enhances the ability of histograms equalization to increase saturation contrast.
1
References
Independent processing of suprathreshold spatial gratings as a function of their separation in spatial frequency.
TL;DR: In this paper, the authors examined the minimum separation with respect to spatial frequency required for two superimposed gratings to be processed independently in the visual system and found that the difference in contrast between the two grating stimuli was well above the detection threshold.
Some quantitative aspects of an opponent-colors theory. II. Brightness, saturation, and hue in normal and dichromatic vision.
Leo M. Hurvich,Dorothea Jameson +1 more
TL;DR: A quantitative model for an opponent-colors theory of vision is presented that is based on the CIE color mixture data for the standard observer to account for spectral brightness, saturation, and hue and some of their associated psychophysical functions in both normal and dichromatic vision.
Contrast dependence and mechanisms of masking interactions among chromatic and luminance gratings
TL;DR: The spatial-frequency selectivity of the luminance-facilitates-color interaction is much broader than facilitatory interactions in either the color-color or Luminance-luminance conditions, which is consistent with models that invoke inhibitory or more elaborate excitatory masking interactions.