Color Stereo Image Zero-Watermarking using Quaternion Radial Tchebichef Moments

Image zero-watermarking algorithm against geometric attacks based on Tchebichef moments

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00434 ◽

2013 ◽

Vol 33 (2) ◽

pp. 434-437 ◽

Cited By ~ 1

Author(s):

Xinghong CHENG ◽

Yuqing HOU ◽

Jingxing CHENG ◽

Xin PU

Keyword(s):

Geometric Attacks ◽

Tchebichef Moments ◽

Zero Watermarking

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Ternary radial harmonic Fourier moments based robust stereo image zero-watermarking algorithm

Information Sciences ◽

10.1016/j.ins.2018.08.028 ◽

2019 ◽

Vol 470 ◽

pp. 109-120 ◽

Cited By ~ 59

Author(s):

Chunpeng Wang ◽

Xingyuan Wang ◽

Zhiqiu Xia ◽

Chuan Zhang

Keyword(s):

Stereo Image ◽

Zero Watermarking

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Stereo image zero-watermarking algorithm based on ternary polar harmonic Fourier moments and chaotic mapping

Scientia Sinica Informationis ◽

10.1360/n112017-00109 ◽

2017 ◽

Vol 48 (1) ◽

pp. 79-99

Author(s):

Chunpeng WANG ◽

Xingyuan WANG ◽

Chuan ZHANG ◽

Xiaoqiang ZHU ◽

Zhiqiu XIA

Keyword(s):

Stereo Image ◽

Chaotic Mapping ◽

Zero Watermarking

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Applications of Through-Focus Dark Field Image Shifts to Phase Identification

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100114517 ◽

1975 ◽

Vol 33 ◽

pp. 178-179

Author(s):

Prakash Rao

Keyword(s):

Dark Field Image ◽

Thin Foil ◽

Dark Field ◽

The Other ◽

Stereo Image ◽

Phase Identification ◽

The Past ◽

Field Electron Microscopy ◽

Dark Field Electron ◽

Recent Extension

Image shifts in out-of-focus dark field images have been used in the past to determine, for example, epitaxial relationships in thin films. A recent extension of the use of dark field image shifts has been to out-of-focus images in conjunction with stereoviewing to produce an artificial stereo image effect. The technique, called through-focus dark field electron microscopy or 2-1/2D microscopy, basically involves obtaining two beam-tilted dark field images such that one is slightly over-focus and the other slightly under-focus, followed by examination of the two images through a conventional stereoviewer. The elevation differences so produced are usually unrelated to object positions in the thin foil and no specimen tilting is required.In order to produce this artificial stereo effect for the purpose of phase separation and identification, it is first necessary to select a region of the diffraction pattern containing more than just one discrete spot, with the objective aperture.

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Advantages of Complementary Stereo Images as Viewed with the Low-Temperature Field-Emission SEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100131206 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1314-1315

Author(s):

William P. Wergin ◽

Eric F. Erbe

Keyword(s):

Fold Increase ◽

Horizontal Displacement ◽

Three Dimensions ◽

Stereo Image ◽

Stereo Pair ◽

Sem Micrograph ◽

Left And Right ◽

The Common ◽

The Brain ◽

Pair Analysis

The eye-brain complex allows those of us with normal vision to perceive and evaluate our surroundings in three-dimensions (3-D). The principle factor that makes this possible is parallax - the horizontal displacement of objects that results from the independent views that the left and right eyes detect and simultaneously transmit to the brain for superimposition. The common SEM micrograph is a 2-D representation of a 3-D specimen. Depriving the brain of the 3-D view can lead to erroneous conclusions about the relative sizes, positions and convergence of structures within a specimen. In addition, Walter has suggested that the stereo image contains information equivalent to a two-fold increase in magnification over that found in a 2-D image. Because of these factors, stereo pair analysis should be routinely employed when studying specimens.Imaging complementary faces of a fractured specimen is a second method by which the topography of a specimen can be more accurately evaluated.

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Computational Micrograph Registration with Sieve Processes

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100164660 ◽

1996 ◽

Vol 54 ◽

pp. 440-441

Author(s):

P.J. Phillips ◽

J. Huang ◽

S. M. Dunn

Keyword(s):

Planar Graph ◽

Efficient Algorithm ◽

Spatial Organization ◽

Spatial Arrangement ◽

Stereo Image ◽

Image Model ◽

Geometric Invariants ◽

Point Set

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.

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Objective quality evaluation method of stereo image based on steerable pyramid

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.00710 ◽

2013 ◽

Vol 32 (3) ◽

pp. 710-714

Author(s):

Jin-jin WEI ◽

Su-mei LI ◽

Wen-juan LIU ◽

Yan-jun ZANG

Keyword(s):

Quality Evaluation ◽

Evaluation Method ◽

Stereo Image ◽

Objective Quality ◽

Steerable Pyramid

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Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition

Applied Sciences ◽

10.3390/app9040642 ◽

2019 ◽

Vol 9 (4) ◽

pp. 642 ◽

Cited By ~ 3

Author(s):

Xu Xi ◽

Xinchang Zhang ◽

Weidong Liang ◽

Qinchuan Xin ◽

Pengcheng Zhang

Keyword(s):

Singular Value Decomposition ◽

Singular Value ◽

Two Dimensional ◽

Triangle Mesh ◽

Vector Map ◽

Vector Maps ◽

Feature Sequence ◽

Zero Watermarking ◽

Value Decomposition ◽

Watermarking Scheme

Digital watermarking is important for the copyright protection of electronic data, but embedding watermarks into vector maps could easily lead to changes in map precision. Zero-watermarking, a method that does not embed watermarks into maps, could avoid altering vector maps but often lack of robustness. This study proposes a dual zero-watermarking scheme that improves watermark robustness for two-dimensional (2D) vector maps. The proposed scheme first extracts the feature vertices and non-feature vertices of the vector map with the Douglas-Peucker algorithm and subsequently constructs the Delaunay Triangulation Mesh (DTM) to form a topological feature sequence of feature vertices as well as the Singular Value Decomposition (SVD) matrix to form intrinsic feature sequence of non-feature vertices. Next, zero-watermarks are obtained by executing exclusive disjunction (XOR) with the encrypted watermark image under the Arnold scramble algorithm. The experimental results show that the scheme that synthesizes both the feature and non-feature information improves the watermark capacity. Making use of complementary information between feature and non-feature vertices considerably improves the overall robustness of the watermarking scheme. The proposed dual zero-watermarking scheme combines the advantages of individual watermarking schemes and is robust against such attacks as geometric attacks, vertex attacks and object attacks.

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