This paper suggests a new color model for images taken by digital cameras. We show that this color model is useful for overcoming nonlinearities of digital camera sensors. This model is suitable for color image segmentation and enables one to easily manipulate and enhance the colors of an

s of AHAMC 2011 Triangle Meshes for Image Representation

An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems of operational research and combinatorial optimization. Hypergraphs are now used in many domains such as chemistry, engineering and image processing. We present an overview of a hypergraph-based picture representation giving muc...

Sparsity-based models have proven to be very effective in most image processing applications. The notion of sparsity has recently been extended to structured sparsity models where not only the number of components but also their support is important. This paper goes one step further and proposes a new model where signals are composed of a small number of molecules, which are each linear combina...

Recently, various image-to-image translation (I2I) methods have improved mode diversity and visual quality in terms of neural networks or regularization terms. However, conventional I2I relies on a static decision boundary the encoded representations those are entangled with each other, so they often face ‘mode collapse’ phenomenon. To mitigate collapse, 1) we design so-called style-guided disc...

bstract. We integrate stylized rendering with an efficient multiesolution image representation, enabling a user to control how ompression affects the aesthetic appearance of an image. We dopt a point-based rendering approach to progressive image transission and compression. We use a novel, adaptive farthest point ampling algorithm to represent the image at progressive levels of etail, balancing...

This paper describes a rarity-based visual attention model working on both still images and video sequences. Applications of this kind of models are numerous and we focus on a perceptual image representation which enhances the perceptually important areas and uses lower resolution for perceptually less important regions. Our aim is to provide an approximation of human perception by visualizing ...