Invariant moment and Hilbert code based zero watermarking method of vector residential place

A zero-watermark and vector technology, applied in the field of cartography and geographic information science, can solve the problem that the embedded watermark method cannot be directly applied to vector residential data, and achieve good use value, good robustness, and advanced methods.

A zero-watermark and vector technology, applied in the field of cartography and geographic information science, can solve the problem that the embedded watermark method cannot be directly applied to vector residential data, and achieve good use value, good robustness, and advanced methods.

CN106204411AActive Publication Date: 2016-12-07LANZHOU JIAOTONG UNIV
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  • Invariant moment and Hilbert code based zero watermarking method of vector residential place
  • Invariant moment and Hilbert code based zero watermarking method of vector residential place
  • Invariant moment and Hilbert code based zero watermarking method of vector residential place

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Embodiment Construction

[0021] In order to describe the technical content, structural features, objectives and effects of the present invention in detail, the following will be described in detail in conjunction with specific embodiments.

[0022] The implementation steps of the present invention can be summarized into two parts: zero-watermark construction and zero-watermark detection and optimization strategy of adding and deleting attacks. Each implementation step is further described below.

[0023] Step 1: Sort the objects of residential places according to their values, and use the formula (8) to calculate the 7 invariant moments of each residential place in this order to generate an invariant moment set.

[0024] Step 2: Express the positive numbers in the invariant moment set with "1" and the negative numbers with "0" to generate a binary matrix.

[0025] Step 3: Read the matrix value of the original watermark image to get the matrix

[0026] PƗQ=N is the image matrix size. The original im...

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Abstract

The invention discloses a zero watermarking method for vector residential-place data, and aims at enhancing the cutting resistance of zero watermarks. Hilbert permutation codes are used to partition the data to construct multiple zero watermarks. Each zero watermark is constructed by utilizing an Arnold technology to scramble an original watermark image, calculating a vector invariant moment set of a residential place figure and mapping the vector invariant moment set into a binary matrix, and carrying out XOR operation on the scrambled watermark image and the binary matrix mapped by the invariant moment set to complete construction of the zero watermark. Experimental results show that the method can effectively resist common geometric and cutting attacks, and is highly robustness for adding or deleting attacks for objects of the residential place.

Description

technical field [0001] The invention belongs to the field of cartography and geographic information science and technology, and relates to a zero watermark method based on invariant moments and Hilbert codes for vector settlement data. Background technique [0002] The production cost of vector map data is high, it is widely used in social and economic activities, and is closely related to national security, so the research on its copyright protection is of great significance. On a map, whether it is a general map or a thematic map, the settlement is an important and indispensable map element in the map expression. Therefore, copyright protection of residential data is particularly important in the process of map dissemination. [0003] Digital watermarking technology plays an important role in the application of data copyright protection and data authenticity detection. It is a new technology that can realize information hidden domain tracking in an open network environmen...

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Application Information

Patent Timeline
07 Dec 2016
Publication
CN106204411A
IPC
G06T1/00
CPC
G06T1/0064
Inventors
å§œę™“ē“; 闫굩ꖇ