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Using Multivariate Statistics

Color as a Science

Color in Business, Science, and Industry

1 Historique    2 Administration    3 Missions    4 Activites    5 Organisation    6 Reunions    7 Liaisons internationales    8 Conclusion

Commission internationale de l''éclairage (CIE)

Retinal image quality assessment using generic image quality indicators

Measuring perceptual contrast in digital images

The original presentation of Retinex, a spatial color correction and image enhancement algorithm modeling the human vision system, as proposed by Land and McCann in 1964, uses paths to explore the image in search of a local reference white point. The interesting results of this algorithm have led to the development of many versions of Retinex. They follow the same principle but differ in the way they explore the image, with, for example, random paths, random samples, convolution masks, and variational formulations. We propose an alternative way to explore local properties of Retinex, replacing random paths by traces of a specialized swarm of termites. In presenting the spatial characteristics of the proposed method, we discuss differences in path exploration with other Retinex implementations. Experiments, results, and comparisons are presented to test the efficacy of the proposed Retinex implementation.

https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-23/issue-1/013006/Termite-Retinex--a-new-implementation-based-on-a-colony/10.1117/1.JEI.23.1.013006.pdf

Termite retinex: A new implementation based on a colony of intelligent agents

In this paper, we propose an algorithm for the measure of local and global contrast in digital images. It applies locally, at various sub-sampled levels, a simplified computation of local contrast based on DOG and finally it recombines all the values to obtain a global measure. The proposed method comes from the modification of a previous algorithm with a different local measure of contrast and with a parameterized way to recombine color channels. As new approach we propose the idea of recombining the channels following measures taken from the image itself. Preliminary tests and results are presented and discussed. Introduction Since the first studies on contrast in images, it has emerged how arduous it could be to give a definition of contrast and, moreover, how subjective and related to the observation task or observer experience this definition could turn out to be. For this reason, the first approaches to this topic have confined themselves to study the phenomenon from rather limited points of view, operating in controlled situations and under very restrictive conditions, the so-called "void conditions". After this very first experiments more complex measures have been devised, but a measure of contrast in images is still not clearly

A Modified Algorithm for Perceived Contrast Measure in Digital Images

We have carried out a psychophysical experiment to reg- ister perceived contrast. 17 observers viewed 15 images, each image was shown for 40 seconds where the observer stated the perceived contrast of the image. The results from the observers indicate that the consensus of contrast among experts decreases as the perceived contrast decreases. Experts also rate the con- trast higher then non-experts. A number of contrast algorithms, developed to predict perceived contrast was evaluated against the perceived contrast from the observers.

Evaluation of contrast measures in relation to observers perceived contrast

Abstract. Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions. We revise two recent path-based, edge-aware Retinex implementations: Termite Retinex (TR) and Energy-driven Termite Retinex (ETR). As the original Retinex implementation, TR and ETR scan the neighborhood of any image pixel by paths and rescale their chromatic intensities by intensity levels computed by reworking the colors of the pixels on the paths. Our interest in TR and ETR is due to their unique, content-based scanning scheme, which uses the image edges to define the paths and exploits a swarm intelligence model for guiding the spatial exploration of the image. The exploration scheme of ETR has been showed to be particularly effective: its paths are local minima of an energy functional, designed to favor the sampling of image pixels highly relevant to color sensation. Nevertheless, since its computational complexity makes ETR poorly practicable, here we present a light version of it, named Light Energy-driven TR, and obtained from ETR by implementing a modified, optimized minimization procedure and by exploiting parallel computing.

Gabriele Simone

Papers

Measuring perceptual contrast in digital images

Termite retinex: A new implementation based on a colony of intelligent agents

A Modified Algorithm for Perceived Contrast Measure in Digital Images

Evaluation of contrast measures in relation to observers perceived contrast

On edge-aware path-based color spatial sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex