Artistic rendering is a subset of non-photorealistic rendering with the intention of using artistic effects in rendered images. This paper looks at texture transfer as a generalized method to render digital images in artistic styles. Texture transfer algorithms transfer the source texture to a target image. Since artistic style is subjective, this algorithm has four adjustable parameters that a...

With the effective image processing tools, the digital image processing technique can be applied to the virtual restoration of artistic paintings. For the restoration of artistic work, digital image processing technique serves many purposes. This paper presents approach for virtual digital restoration of artistic paintings which are suffering from the breaks or cracks. An approach includes dete...

scholars of the past have address important topics in the field of arabic rhetoric, including discussions of the word and the sense, a topic from which discussions of the image, or as modern critics would call, the artistic image, emerges. thus, critics and rhetoric experts consider the artistic image (or the image) as a valid tool in literary criticism. a useful result this is the possibility ...

The artistic style of a painting is a subtle aesthetic judgment used by art historians for grouping and classifying artwork. The recently introduced ‘neural-style’ algorithm substantially succeeds in merging the perceived artistic style of one image or set of images with the perceived content of another. In light of this and other recent developments in image analysis via convolutional neural n...

Altering the viewing parameters of a 3D object results in computer graphics images of varying quality. One aspect of image quality is the composition of the image. While the esthetic properties of an image are subjective, some heuristics used by artists to create images can be approximated quantitatively. We present an algorithm based on heuristic compositional rules for finding the format, vie...

Artistic image understanding is an interdisciplinary research field of increasing importance for the computer vision and the art history communities. For computer vision scientists, this problem offers challenges where new techniques can be developed; and for the art history community new automatic art analysis tools can be developed. On the positive side, artistic images are generally constrai...

This chapter presents an overview of the latest artistic portrait rendering techniques. Artistic rendering or portraits can be viewed as an image generating process controlled by two factors. The first one is the face fidelity, namely, a rendered portrait image should preserve a certain amount of the original face’s information. The second factor is the artistic style, for example, sketch, pain...

Recent advances in computer vision and image processing have enabled basic automatic analysis of visual art. Here we use computer analysis to extract thousands of numerical low-level image content descriptors from digitized paintings, and use them to objectively compare the similarities between the artistic styles of different painters. The analysis reveals that Vincent Van Gogh and Jackson Pol...

Visual generative models, such as Generative Adversarial Networks (GANs) [1] and Variational Autoencoders (VAEs) [2], have achieve remarkable results in generating visual images [3, 4, 5, 6]. While most existing work [3, 4] focus on photorealistic images, the problem of generating artistic images is relatively underinvestigated. Different from photorealistic images, artistic images exhibit larg...