Abstract | Dierential Evolution is an optimisation technique that has been successfully employed in various applications. In this paper we apply Dierential Evolu-tion to the problem of generating an optimal colour map for colour quantised images. The choice of entries in the colour map is crucial for the resulting image quality as it forms a look-up table for all pixels in the image. We show that Dierential Evolution can be eectively employed as a method for deriving the entries in the map. In order to optimise the image quality our Dif-ferential Evolution approach is combined with a local search method that is guaranteed to nd the local op-timal colour map. This hybrid approach is shown to outperform various commonly used colour quantisati...
The paper focuses on the efficiency of local search in a Hybrid evolutionary algorithm (HEA), with a...
Colloque avec actes et comité de lecture. nationale.National audienceThis paper presents a new hybri...
Abstract — This paper introduces a new hybrid image enhancement approach driven by both global and l...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Abstract Color palettes are inherent to color quantized images and represent the range of possible c...
This paper proposes a hybrid of differential evolution and genetic algorithms to solve the color ima...
Although widely studied for many years, colour image quantisation remains a challenging problem. We ...
This paper proposes a hybrid of differential evolution and genetic algorithms to solve the color ima...
We consider the problem of automating the recoloring of designs whose "originals" are defined using ...
Soft computing techniques have shown much potential in a variety of computer vision and image analys...
This paper presents a colorization algorithm which adds color to monochrome images.In this paper, th...
This paper presents a colorization algorithm which adds color to monochrome images. In this paper, t...
This paper presents a colorization algorithm which adds color to monochrome im-ages. In this paper, ...
Color Image quantization (CQ) is an important problem in computer graphics, image and processing. Th...
Color Quantization (CQ) is a complex and hard problem because selecting the best set of colors from ...
The paper focuses on the efficiency of local search in a Hybrid evolutionary algorithm (HEA), with a...
Colloque avec actes et comité de lecture. nationale.National audienceThis paper presents a new hybri...
Abstract — This paper introduces a new hybrid image enhancement approach driven by both global and l...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Abstract Color palettes are inherent to color quantized images and represent the range of possible c...
This paper proposes a hybrid of differential evolution and genetic algorithms to solve the color ima...
Although widely studied for many years, colour image quantisation remains a challenging problem. We ...
This paper proposes a hybrid of differential evolution and genetic algorithms to solve the color ima...
We consider the problem of automating the recoloring of designs whose "originals" are defined using ...
Soft computing techniques have shown much potential in a variety of computer vision and image analys...
This paper presents a colorization algorithm which adds color to monochrome images.In this paper, th...
This paper presents a colorization algorithm which adds color to monochrome images. In this paper, t...
This paper presents a colorization algorithm which adds color to monochrome im-ages. In this paper, ...
Color Image quantization (CQ) is an important problem in computer graphics, image and processing. Th...
Color Quantization (CQ) is a complex and hard problem because selecting the best set of colors from ...
The paper focuses on the efficiency of local search in a Hybrid evolutionary algorithm (HEA), with a...
Colloque avec actes et comité de lecture. nationale.National audienceThis paper presents a new hybri...
Abstract — This paper introduces a new hybrid image enhancement approach driven by both global and l...