Results 221 to 230 of about 9,112 (254)

A Shape‐Preserving Approach to Image Resizing

Computer Graphics Forum, 2009
AbstractWe present a novel image resizing method which attempts to ensure that important local regions undergo a geometric similarity transformation, and at the same time, to preserve image edge structure. To accomplish this, we define handles to describe both local regions and image edges, and assign a weight for each handle based on an importance map
Guo-Xin Zhang, Ming-Ming Cheng, Shi-Min Hu 0001, Ralph R. Martin   +3 more
openaire   +1 more source

Image Resizing in DCT Domain

2021
There is a high demand for effective resizing of images in order to preserve the region of interest as much as possible on various screens with different dimensions and aspect ratios. In addition, image compression is important in many applications.
Hsi-Chin Hsin, Cheng-Ying Yang, Chien-Kun Su   +2 more
openaire   +1 more source

Application of linear predictive image resizing on thyroid images

2008 IEEE 16th Signal Processing, Communication and Applications Conference, 2008
In nuclear medicine; image processing is an important task. In Scintigraphic visualization in addition to physiological, mathematical and physical effects, small organs also make clearness of the image difficult to understand. Image enlargement and/or resizing without any artifact is essential in order to detect small lesions. In this paper, the method
KOCAOĞLU, AYKUT, Goekbulut, Ebru
openaire   +2 more sources

Content-Aware Image Resizing

2017
The present chapter generally relates to content-aware image resizing and image inscribing into predetermined areas. The problem consists in transformation of the image to a new size with or without modification of the aspect ratio in a manner that retains the recognizability and proportions of the important features of the image.
IliaV. Safonov, IlyaV. Kurilin, MichaelN. Rychagov, EkaterinaV. Tolstaya   +3 more
openaire   +1 more source

Hardware accelerator for real-time image resizing

18th International Symposium on VLSI Design and Test, 2014
An accurate, hardware efficient and fast image rescaling unit is a crucial part of any real-time image processing system. Although there are a number of image scaling algorithms existing in the literature but Bicubic and Bilinear interpolation algorithms are most widely used.
Pranav Narayan Gour, Sujay Narumanchi, Sumeet Saurav, Sanjay Singh 0001   +3 more
openaire   +1 more source

Resizing of images in the dct space by arbitrary factors

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
In this work we describe algorithms for the resizing by arbitrary factors of images represented in the block DCT space. The algorithms are designed by exploiting spatial relationship of the block DCT coefficients and subband correlation of the DCT coefficients. An interesting application of these methods shown is the conversion in the compressed domain
Jayanta Mukhopadhyay, Sanjit K. Mitra
openaire   +1 more source

Fast Arbitrary Resizing of Images in DCT Domain

Multimedia and Expo, 2007 IEEE International Conference on, 2007
Limited storage and bandwidth have long necessitated the use of images and videos in compressed formats. Resizing of images in compressed domains such as discrete cosine transform (DCT) are developed primarily to avoid the computation associated to decompression and compression for spatial techniques.
Ee-Leng Tan, Woon-Seng Gan, Meng-Tong Wong   +2 more
openaire   +1 more source

Cellular Automata for Image Resizing

2014
During the last years, several methods have been applied to tackle the image resizing problem. Most of these methods are derived from image interpolation techniques for image enlargement. Among them, the edge-directed interpolation methods succeed to preserve the edges of the low resolution image and produce crisper results compared to the space ...
Konstantinos Ioannidis, Georgios Ch. Sirakoulis, Ioannis Andreadis   +2 more
openaire   +1 more source

NIF-based seam carving for image resizing

Multimedia Systems, 2014
In this paper, improving the existing seam carving technique, we propose a novel image-resizing method which considers both texture and color information of the original image. Neighborhood inhomogeneity factor (NIF), which describes the image inhomogeneity, is used to compute the saliency map of an image in the Lab space.
Dongyan Guo, Jundi Ding, Jinhui Tang 0001, Min Xu 0001, Chunxia Zhao   +4 more
openaire   +1 more source

Seamlet carving for shape-aware image resizing

Science China Information Sciences, 2012
In this paper we propose an optimized seam-carving approach for anti-shearing image resizing. Current image/video seam-carving strategy only focuses on deleting the pixels along 8-connected seams, which may lead to the obvious information loss during resizing.
Xiao Lin 0012, Bin Sheng 0001, Lizhuang Ma, Yang Shen 0011, Zhihua Chen   +4 more
openaire   +1 more source