Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction (CROSBI ID 221755)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Banić, Nikola ; Lončarić, Sven Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction // Journal of the Optical Society of America. A, Optics, image science, and vision., 32 (2015), 11; 2136-2147. doi: 10.1364/JOSAA.32.002136

Podaci o odgovornosti

Banić, Nikola ; Lončarić, Sven

engleski

Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction

Removing the influence of the illumination on image colors and adjusting the brightness across the scene are important image enhancement problems. This is achieved by applying adequate color constancy and brightness adjustment methods. One of the earliest models to deal with both of these problems was the Retinex theory. Some of the Retinex implementations tend to give high-quality results by performing local operations, but they are computationally relatively slow. One of the recent Retinex implementations is Light Random Sprays Retinex (LRSR). In this paper, a new method is proposed for brightness adjustment and color correction that overcomes the main disadvantages of LRSR. There are three main contributions of this paper: first, a concept of memory sprays is proposed to reduce the number of LRSR’s per-pixel operations to a constant regardless of the parameter values thus enabling a fast Retinex-based local image enhancement ; second, an effective remapping of image intensities is proposed that results in significantly higher quality ; and third, the problem of LRSR’s halo effect is significantly reduced by using an alternative illumination processing method. The proposed method enables a fast Retinex-based image enhancement by processing Retinex paths in constant number of steps regardless of the path size. Due to the halo effect removal and remapping of the resulting intensities the method outperforms many of the well-known image enhancement methods in terms of resulting image quality. The results are presented and discussed. It is shown that the proposed method outperforms most of the tested methods in terms of image brightness adjustment, color correction, and computational speed.

image enhancement ; illumination ; color

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

32 (11)

2015.

2136-2147

objavljeno

1084-7529

10.1364/JOSAA.32.002136

Povezanost rada

Računarstvo

Poveznice
Indeksiranost