We describe a spatial extension to the CIELAB color metric that is useful for measuring color reproduction errors of digital images. To compute the error, digital color images are spatially filtered using a pattern-color separable method and then converted into the CIELAB representation. Over patterned regions of the image, the reproduction errors measured using the spatial extension of CIELAB correspond to perceived color errors better than errors computed without the spatial extension. Over uniform spatial regions of the image, errors computed with the extension are equal to errors computed using the standard CIELAB formulae. 2 Introduction The CIELAB system (CIE 1978) is an important international standard for measuring color reproducti...
In this research, we investigated two important issues in digital color imaging: the measure of colo...
The objective of this thesis research was to investigate the tradeoffs between the number of quantiz...
Abstract—Color distortion can introduce a significant damage in visual quality perception, however, ...
We describe experimental tests of a spatial extension to the CIELAB color metric for measuring color...
We describe computational experiments to predict the perceived quality of multi-level halftone image...
This paper proposes a new image quality assessment framework which is based on color perceptual mode...
Simple color-difference formulae and pictorial images have traditionally been used to estimate the v...
This work uses the S-CIELAB color model to compare images that have been calibrated and processed us...
Two methods for colorimetric characterization of color scanner are proposed based on the measures of...
Faithful colour reproduction of digital images requires a reliable measure to compare such images in...
Abstract: A measure for the color reproduction ability of a color imaging device is important for co...
Several color image delity metrics are evaluated by comparing the metric predictions to empirical me...
Standardized in 1976 as a uniform color space, CIELAB is extensively utilized in color science and e...
International audienceThis paper presents a useful algorithmic strategy to sample uniformly the CIEL...
In order to predict the overall perception of image quality it is necessary to first understand and ...
In this research, we investigated two important issues in digital color imaging: the measure of colo...
The objective of this thesis research was to investigate the tradeoffs between the number of quantiz...
Abstract—Color distortion can introduce a significant damage in visual quality perception, however, ...
We describe experimental tests of a spatial extension to the CIELAB color metric for measuring color...
We describe computational experiments to predict the perceived quality of multi-level halftone image...
This paper proposes a new image quality assessment framework which is based on color perceptual mode...
Simple color-difference formulae and pictorial images have traditionally been used to estimate the v...
This work uses the S-CIELAB color model to compare images that have been calibrated and processed us...
Two methods for colorimetric characterization of color scanner are proposed based on the measures of...
Faithful colour reproduction of digital images requires a reliable measure to compare such images in...
Abstract: A measure for the color reproduction ability of a color imaging device is important for co...
Several color image delity metrics are evaluated by comparing the metric predictions to empirical me...
Standardized in 1976 as a uniform color space, CIELAB is extensively utilized in color science and e...
International audienceThis paper presents a useful algorithmic strategy to sample uniformly the CIEL...
In order to predict the overall perception of image quality it is necessary to first understand and ...
In this research, we investigated two important issues in digital color imaging: the measure of colo...
The objective of this thesis research was to investigate the tradeoffs between the number of quantiz...
Abstract—Color distortion can introduce a significant damage in visual quality perception, however, ...