This paper deals with discrete cosine transform (DCT)-domain image resizing as compressed domain processing. Previous DCT-domain image resizing methods assume that all macroblocks are in the frame mode. In this paper, we propose an efficient method for DCT-domain image resizing with mixed field/frame-mode macroblocks. This method is developed from the investigation of the DCT-domain image resiz...

Image resizing is to change an image size by upsampling or downsampling of a digital image. Most still images and video frames on digital media are given in a compressed domain. Image resizing of a compressed image can be performed in the spatial domain via decompression and recompression. In general, resizing of a compressed image in a compressed domain is much faster than that in the spatial ...

With the development of multimedia display devices, dynamic image sequence resizing, which can adapt image sequences to be displayed on devices with different resolutions, is becoming more important. However, existing approaches do not resize results from the viewpoint of the user. In this paper, we present a new resizing framework, which uses the feature descriptor technique and the image inte...

Abstract For many applications such as image transmission over channels with variable bandwidths and image display on devices at different resolution levels, image resizing is widely demanding. Recently, image resizing algorithms in the compressed domain have drawn a lot of attention to computation efficiency. In this paper, an efficient image resizing algorithm based on discrete cosine transfo...

Content-aware image resizing are effective algorithms that allow to take into account the visual content of images during the resizing process. Despite the technological advances in the context of mobile devices, content-aware image resizing algorithms are still far to be used on a hand held device due to the computational resources needed during the resizing. In this paper we afford this probl...

Image resizing is a basic tool in image processing, and literature, we have many methods based on different approaches, which are often specialized only upscaling or downscaling. In this paper, independently of the (reduced enlarged) size aim to get, approach problem at continuous scale where underlying function representing globally approximated by its Lagrange–Chebyshev I kind interpolation p...

Visualization resizing is useful for many applications such as collaborative business intelligence where users may use display devices with different sizes and aspect ratios. General resizing techniques (e.g., uniform scaling) and image resizing techniques suffer from several drawbacks, as they do not consider the content of visualizations. In this work, we introduce ViSizer, a perception-based...

In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression attacks. The reason is that JPEG compression introduces its own periodicity, as it works on 8×8 blocks. In our proposed approach, we add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that...