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We propose a new method for design of computationally efficient nonsubsampled multiscale multidirectional filter bank with perfect reconstruction (PR). This filter bank is composed of two nonsubsampled filter banks, for multiscale decomposition and for directional expansion. For multiscale decomposition, we transform the 1-D equivalent sub band filters directly into 2-D equivalent sub band filters...
This paper proposes a selective intra-field deinterlacing algorithm scheme by using a detailed edge direction classification method. It is base on a mixture of different well known approaches: i) M-ELA method to predict the edge and interpolate the missing pixels, ii) Sobel mask for obtaining more accurate edge detection, iii) using the ratio of vertical edge and horizontal edge, the approach selects...
We present a consistent model for artistic medium reproduction in 3D scene renderings and animations. Computer generated stylized animations should reproduce the medium used by the artists while avoiding the artifacts present in hand-drawn animations. In our model, for each scene object, we create a surface grain according to the object geometry and apply it as additional material properties. Our...
Encoding images containing mixed content in web compatible formats like PNG, GIF and JPEG poses challenges in maintaining the quality along with good compression. In this paper, we describe a method for improving the compression of web compatible compound images while retaining high quality. The proposed method is based on the principle that the compression ratio of a given image depends upon both...
Segmentation of remote sensing images is challenging task not only for the intrinsic complexity of imaged scenes but also for their multiple-scale interpretation. Hierarchical techniques, which provide a sequence of nested segmentation maps for the scene at different scales are therefore very promising. The Texture fragmentation and reconstruction technique (TFR) carries out a hierarchical image segmentation...
We address the problem of the 3D reconstruction of Rheims (France) using sparse data. We consider an old postcard dataset embodying the period from the beginning to the middle of the 20th century. Our reconstruction have to take into account spatial and temporal aspects that are implicitly characterizing our dataset. Indeed Rheims was destroyed during the first World War, we dispose of postcards taken...
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