Image resizing is a basic tool in image processing, and in literature, we have many methods
based on different approaches, which are often specialized in only upscaling or …

We present a new image scaling method both for downscaling and upscaling, running with
any scale factor or desired size. The resized image is achieved by sampling a bivariate …

In this paper, a simple and effective image-magnification algorithm based on intervals is
proposed. A low-resolution image is magnified to form a high-resolution image using a block …

Skin lesion segmentation is one of the crucial steps for an efficient non-invasive computer-
aided early diagnosis of melanoma. This paper investigates how to use colour information …

Image resizing (IR) has a crucial role in remote sensing (RS), since an image's level of detail
depends on the spatial resolution of the acquisition sensor; its design limitations; and other …

This paper proposes a cost-effective and edge-directed image super-resolution scheme.
Image super-resolution (image magnification) is an enthusiastic research area and is …

This article reports a novel adaptive Sinc-based zooming technique. The theoretical basis of
the zooming technique is the Whittaker–Shannon interpolation formula and the Nyquist …

A fully automatic scaling up algorithm is presented in the framework of interpolation
methods. For any integer zooming factor n, the algorithm generates a magnified version of …

Due to the object overlap and multi-scale transformation problems in aerial image detection,
the detection system has false and missed detections. In this paper, we propose feature Re …

A critical issue in image interpolation is preserving edge detail and texture information in
images when zooming. In this paper, we propose a novel adaptive image zooming algorithm …