Today’s computer display devices normally provide more information than we need. In this paper, the author presents an empirical model that shows minimal pixel requirements for computer users to recognize things from digital photos under different contextual conditions. It is found that face recognition alone needs far fewer pixels than people normally thought. However, more pixels are needed f...

We apply generative adversarial convolutional neural networks to the problem of style transfer underdrawings and ghost-images in x-rays fine art paintings with a special focus on enhancing their spatial resolution. build upon architecture developed for related synthesizing high-resolution photo-realistic image from semantic label maps. Our achieves high resolution through hierarchy generators d...

To the naïve observer, cubist paintings contain geometrical forms in which familiar objects are hardly recognizable, even in the presence of a meaningful title. We used fMRI to test whether a short training session about Cubism would facilitate object recognition in paintings by Picasso, Braque and Gris. Subjects, who had no formal art education, were presented with titled or untitled cubist pa...

Vincent van Gogh (1853-1890), one of the founding fathers of modern painting, is best known for his vivid colors, his vibrant painting style, and his short but highly productive career. His productivity is even higher than generally realized, as many of his known paintings cover a previous composition. This is thought to be the case in one-third of his early period paintings. Van Gogh would oft...

the place of a topic like ‘procedures for developing religiosity’, as a novel and innovative topic, seems to have been standing empty beside topic like ‘origins of religiosity’, and ‘the origin of religion’. the present article, after describing the content, use, and requirements of the topic under investigation, deals with introducing and categorizing paradigms of religiosity. in order to come...

Research for creating impressive images like paintings has attained more and more importance because of the recent growth in processing images. Among many painting styles, watercolor style gives a strong impression because of its thin colors and its soft appearance. This paper proposes a method to create watercolor style images from input images, for instance photographs. In contrast with the p...

Recently, a growing interest has emerged for examining the potential of Image Processing tools to assist Art Investigation. Simultaneously, several research works showed the interest of using multifractal analysis for the description of homogeneous textures in images. In this context, the goal of the present contribution is to study the benefits of using the wavelet leader based multifractal fo...

Hyper spectral images are of high dimension. There are many number of data channels in a hyper spectral image. Segmentation of hyper spectral images is very difficult. In this paper a new segmentation technique for multispectral images is proposed. This paper introduces a concept that combined algorithm of FCM (fuzzy C) and fractional order Darwinian PSO can perform better in terms of classific...

In this paper, we present a simple and intuitive rendering technique to create abstract paintings. This technique allows the users to render a given animated scene with multiple cameras, using a method inspired by concepts used by cubist and futurist abstract painters. In our method, the number of cameras is unlimited and the camera parameters are continuous functions. We define the camera para...