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Self-adaptive method for watermarking intensive image texture

An adaptive, image-based technology, applied in image data processing, image data processing, instruments, etc., can solve the problems of increased complexity and low efficiency, and achieve the effect of small visual perception and balanced contradictions

Inactive Publication Date: 2009-09-16
XIDIAN UNIV
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Problems solved by technology

Multi-scale morphological image segmentation is a complex process, and as part of the watermarking method, it greatly increases the complexity and is less efficient

Method used

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  • Self-adaptive method for watermarking intensive image texture
  • Self-adaptive method for watermarking intensive image texture
  • Self-adaptive method for watermarking intensive image texture

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Embodiment Construction

[0038] 1. Introduction to basic theory

[0039] 1. Mathematical Morphology

[0040] Mathematical morphology is a mathematical tool that has developed rapidly in recent years and is widely used to analyze images based on morphology. The basic idea is to use structural elements with a certain shape to measure and extract the corresponding shape in the image to achieve image analysis and recognition. the goal of. The mathematical basis and language used in mathematical morphology are set theory, which can simplify image data, maintain shape characteristics, remove irrelevant structures, and have a natural parallel implementation structure.

[0041] Binary Morphology regards a binary image as a collection and explores it with structural elements. It is a processing process for collections. The algorithm is simple, suitable for parallel processing, easy to implement in hardware, and suitable for binary processing. Image segmentation, thinning, skeleton extraction, edge extraction...

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Abstract

The invention discloses a self-adaptive method for watermarking intensive image texture, which mainly solves the problems that the prior method is low in robustness and efficiency, and poor in transparency. When a watermark is embedded in the method, an intensive-texture region of an image is extracted by use of the comprehensive action of top-hat transformation and bottom-hat transformation in gray-value morphology; the intensive-texture region of a spatial domain is mapped onto a wavelet coefficient of a corresponding transform domain so as to embed the watermark; and self-adaptive watermark-embedding strength is controlled by image region brightness, texture and frequency band characteristics corresponding to the wavelet coefficient. When the watermark is extracted, the wavelet coefficient of the watermark to be extracted is determined by utilizing the position information Key 1 of the intensive image texture, and the watermark is extracted by utilizing watermark-embedding strength information Key 2. The method is characterized by simplicity, rapidness, high efficiency and universality, has strong robustness to various noise-adding attacks, JPEG compression, wiener filter processing and geometric attacks, and can be used for protecting the copyright security of digital multimedia products.

Description

technical field [0001] The invention belongs to the field of image information processing and relates to a digital image watermarking method, which can be used to provide technical guarantee for the security of digital multimedia product copyright. Background technique [0002] Mathematical morphology, as an emerging nonlinear image processing technology, has received widespread attention and has been successfully applied to many aspects of image processing, such as image edge detection, image segmentation, image classification, object detection, etc. However, it is relatively rare, and the relevant literature includes: [0003] Sedaaghi, M.H. et al. proposed a morphological watermarking algorithm in Morphological watermarking[J].Electronics Letters.2005, 5.41(10): Embedding {-1, 0, 1} watermark into the least important bit plane of the host image, Use the hit-or-miss opening transformation (hit-or-miss opening) operation to detect the watermark signal, which belongs to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
Inventor 同鸣姬红兵王许海
Owner XIDIAN UNIV
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