Image interpolation is the most basic requirement for many image processing task such as
computer graphics, gaming, medical image processing, virtualization, camera surveillance …

In this paper, we propose the design and implementation of an interpolation scheme for
performing image scaling by utilizing a dynamic mask combined with a sophisticated …

The paper studies different existing methods for image scaling algorithm evaluation. In
addition, one new evaluation method is proposed which is directly related to ground truth …

Image scaling, fundamental task of numerous image processing and computer vision
applications, is the process of resizing an image by pixel interpolation. Image scaling leads …

This paper presents a novel architecture for integrating digital stabilizer with the camera
zooming process. The proposed architecture scheme allows integration for both optical and …

This paper presents the application of different spectral methods, like Fourier series and
polynomial-based expansions, to Digital Elevation Models (DEMs) in order to fuse their …

Fully convolutional networks have been proved to be a powerful classifier being able to
make inference on every single pixel of the input image. One of the key elements of such …

The two main factors that determine the quality of images from scaling algorithms are shape
preservation and topology preservation. Most of the existing scaling algorithms focus on …

This paper presents a novel window-scaling algorithm for application of flat panel display. It
is the improved version of normal window-scaling. Features of the proposed algorithm …

The generations of fuzzy membership function and partition of domain by linguistic labels is
central to the process of fuzzy infe rence. A novel hardware approach is presented for the …