Domain transform for spherical geometry images
نویسندگان
چکیده
منابع مشابه
Shape Compression using Spherical Geometry Images
We recently introduced an algorithm for spherical parametrization and remeshing, which allows resampling of a genus-zero surface onto a regular 2D grid, a spherical geometry image. These geometry images offer several advantages for shape compression. First, simple extension rules extend the square image domain to cover the infinite plane, thereby providing a globally smooth surface parametrizat...
متن کاملComputation of Epipolar Geometry and Trifocal Tensor from Spherical Images
We formulate multiple view geometry for 3D reconstruction using a spherical-camera model as a normalized camera model expressing all central cameras. In the sense of geometry, a central camera is a collection of all rays incident to one point. Generally speaking, most cameras that are widely-used in the field of computer vision and robot vision are designed to fall into the central camera. This...
متن کاملContent Based Watermarking for Color Images Using Transform Domain
This paper proposes three approaches to content-based watermarking for image authentication based on Independent Component Analysis (ICA). In this scheme, ICA is applied to blocks of the cover image and the resulting mixing matrix is used as the content-based feature. This is embedded in the mid-frequency DCT coefficient of the block in the first method. The watermark is embedded in the 3 rd le...
متن کاملJoint Watermarking and Compression for Images in Transform Domain
Image watermarking, authentication and encryption have gained an increased importance during the last decade. This is due to the widespread use of visual media over the Internet and in several digital media applications. Several watermarking techniques have been proposed, some in spatial domain, and more recently in the transform/frequency domain and have been reported to be robust against diff...
متن کاملAn Adaptive Transform-Domain Estimator for Filtering Noisy Images
| Image noise ltering has been widely perceived as an estimation problem in the spatial domain. We deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for ltering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to the fact that t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Graphics
سال: 2020
ISSN: 0097-8493
DOI: 10.1016/j.cag.2020.09.016