The idea of decomposing a given image into the cartoon part and the texture-noise part has become classical and there are basic standard algorithms to do that such as RudinOsher-Fatemi [ROF92], and modifications (e.g. Meyer [Mey01]; Osher, Solé, Vese [OSV03] and others). We discuss the Osher-Solé-Vese Ḣ−1-model of image decomposition and propose several natural modifications by using alternativ...

We proposed an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric changes between images. With the morphological pyramid structure, Levenberg-Marquardt optimization, and bilinear interpolation, this algorithm can be implemented hierarchically and iteratively with capability of measuring,...

Today cartoon images take more portion of digital multimedia than ever as we notice this phenomenon in the entertainment business. With the explosive proliferation of cartoon image contents on the Internet, we seem to need a classification system to categorize these cartoon images. This paper presents a new approach of cartoon image classification based on cartoonists. The proposed cartoon imag...

Abstract. In this paper, we propose a new model for image restoration and image decomposition into cartoon and texture, based on the total variation minimization of Rudin, Osher, and Fatemi [Phys. D, 60 (1992), pp. 259–268], and on oscillatory functions, which follows results of Meyer [Oscillating Patterns in Image Processing and Nonlinear Evolution Equations, Univ. Lecture Ser. 22, AMS, Provid...

In this paper, we introduce the cartoon faces in the wild (IIIT-CFW) database and associated problems. This database contains 8,928 annotated images of cartoon faces of 100 public figures. It will be useful in conducting research on spectrum of problems associated with cartoon understanding. Note that to our knowledge, such realistic and large databases of cartoon faces are not available in the...

This paper proposes a novel method to retrieve cartoon character images in a database or network. In this method, partial features of an cartoon image, defined as Regions and Aspects, are used as keys to identify cartoon characters. The similarities between a query cartoon character image and the images in the database are computed by using these features. Based on the similarities, the cartoon...