Usually, paintings are more appealing than photographic images. This is because paintings have styles. This style can be distinguished by looking at elements such as motif, color, shape deformation and brush texture. In our work, we focus on the effect of “color” element and devise a method for transforming the color of an input photograph according to a reference painting. To do this, we consi...

The social gradient in health is familiar to many readers of scientific journals as a diagonal line on a graph showing the almost universal and often linear relation between people’s social and economic circumstances and their health. The pathways to and from poverty and poverty’s impact on health, however, have also vividly been represented in paintings, particularly in 19th century Europe. Th...

The most significant recent breakthrough in remote sensing has been the development of hyper spectral sensors and software to analyze the resulting image data. Fifteen years ago only the spectral remote sensing experts had access to hyper spectral images or many software tools to take advantage of such images. Over the past decade hyper spectral image analysis has matured into one of the most p...

Time perception can be affected by real emotional pictures of people that evoke different levels of arousal. Figurative artwork images of body postures that imply movement with different intensities and evoke different levels of arousal can modulate the perception of time. The present study investigated whether abstract paintings that represent motion in different ways affect the perception of ...

This paper presents an algorithm that transforms color visual images, like photographs or paintings, into tactile graphics. In the algorithm, the edges of objects are detected and colors of the objects are estimated. Then, the edges and the colors are encoded into lines and textures in the output tactile image. Design of the method is substantiated by various qualities of haptic recognizing of ...

The CRISATEL multispectral acquisition system is dedicated to the digital archiving of fine art paintings. It is composed of a dynamic lighting system and of a high-resolution camera equipped with a CCD linear array, 13 interference filters and several built-in electronically controlled mechanisms. A custom calibration procedure has been designed and implemented. It allows us to select the para...

For centuries, oil paintings have been a major segment of the visual arts. The JenAesthetics data set consists of a large number of high-quality images of oil paintings of Western provenance from different art periods. With this database, we studied the relationship between objective image measures and subjective evaluations of the images, especially evaluations on aesthetics (defined as artist...

Non-photorealistic rendering (NPR) creates images with artistic styles of paintings. In this field, a number of methods of converting photographed images into non-photorealistic ones have been developed, and can be categorized into filter-based and exemplar-based approaches. In this paper, we focus on the exemplar-based approach and propose a novel method which transfers a style of a reference ...

Two recent studies suggest that natural scenes and paintings show similar statistical properties. But does the content or region of origin of an artwork affect its statistical properties? We addressed this question by having judges place paintings from a large, diverse collection of paintings into one of three subject-matter categories using a forced-choice paradigm. Basic statistics for images...