Results 281 to 290 of about 66,688 (323)
Some of the next articles are maybe not open access.

Rectangling panoramic images via warping

ACM Transactions on Graphics, 2013
Stitched panoramic images mostly have irregular boundaries. Artists and common users generally prefer rectangular boundaries, which can be obtained through cropping or image completion techniques. In this paper, we present a content-aware warping algorithm that generates rectangular images from stitched panoramic images.
Kaiming He, Huiwen Chang, Jian Sun
openaire   +1 more source

Image warping by scanline operations

Computers & Graphics, 1993
Abstract Linear spatial image warping operations realized as 2 × 2 matrix multiplications lead to difficult computational problems owing to problems with sampling, resampling, and aliasing. A three-step method is proposed that minimizes these problems. Parallel implementation of the method is discussed. Examples are given.
L.Anne Breene, Jack Bryant
openaire   +1 more source

Inverse image warping without searching

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005
For the depth information of desired view is unknown, a per-pixel searching step is often inevitable in methods of inverse image warping. A novel approach is proposed in this paper called "cross-segment algorithm (CSA)". Different from other existing methods, CSA tickles the corresponding problem by solving the equations of crossed segments instead of ...
null Tang Yang   +3 more
openaire   +1 more source

Image Warping in Dermatological Image Hair Removal

2014
The paper focuses on solving the problem of hair removal in dermatology applications. The proposed hair removal algorithm is based on Gabor filtering and PDE-based image reconstruction. It also includes the edge sharpening stage using a new warping algorithm.
Alexandra Nasonova   +5 more
openaire   +1 more source

Parallel Affine Image Warping

1994
Several methods for parallel affine image warping on a linear processor array are considered. The methods were implemented on the Carnegie Mellon Warp machine and the Carnegie Mellon-Intel Corporation iWarp computer. Performance figures are provided. Methods studied included systolic, which feed one of the images in a stream; data partitioned, which ...
openaire   +1 more source

Wave-equation-based image warping

GEOPHYSICS, 2016
In seismic processing and reservoir characterization, we often need to measure relative displacements between different realizations of data. Over the years, many methods have been developed using different measures of similarity. Such alignment or warping methods are often effective signal or image processing tools.
Adel Khalil, Henning Hoeber
openaire   +1 more source

Enabling warping on stereoscopic images

ACM Transactions on Graphics, 2012
Warping is one of the basic image processing techniques. Directly applying existing monocular image warping techniques to stereoscopic images is problematic as it often introduces vertical disparities and damages the original disparity distribution. In this paper, we show that these problems can be solved by appropriately warping both the disparity map
Yuzhen Niu, Wu-Chi Feng, Feng Liu
openaire   +1 more source

Super-Resolution via Image Warping

2005
This chapter focuses on three issues: supporting image warping algorithms for super-resolution, examples of how image warping algorithms impact super-resolution image quality, and the development of quantitative techniques for super-resolution algorithm evaluation.
Terrance E. Boult   +2 more
openaire   +1 more source

2D and 3D optimal parallel image warping

[1993] Proceedings Seventh International Parallel Processing Symposium, 1995
Spatial image warping is useful for image processing and graphics. The authors present optimal concurrent-read-exclusive-write (CREW) and exclusive-read-exclusive-write (EREW) parallel-random-access-machine (PRAM) algorithms that achieve O(1) asymptotic run time.
C.M. Wittenbrink, A.K. Somani
openaire   +1 more source

Dynamic warping of seismic images

GEOPHYSICS, 2013
The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise or for other reasons are not shifted versions of one another. A new solution to this
openaire   +1 more source

Home - About - Disclaimer - Privacy