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This study presented a new algorithm for hiding information in an carrier image. It hides information by using the numerical value relation of three neighboring DCT coefficients with Zig-Zag order of block image. Firstly, each block of image is transformed by DCT. Then the DCT coefficient matrix is scanned by Zig-Zag scanning order to ensure the continuity of the neighboring coefficients. And then...
This paper proposes an improving method for the pixel-wise based image watermarking by using image averaging technique and prediction of tuned watermarked pixels. To reduce the error in the original pixel prediction process caused by the high different values of neighbor pixels in the watermarked image, the technique of image averaging is applied to host image in the embedding process, and the watermarked...
A watermarking algorithm for the infrared image copyright protection was developed. The whole process was based on integer wavelet transform. Encrypt the grey scale image watermark by Logistic chaotic sequence, and then decompose based on integer wavelet. Select the perceptually significant wavelet coefficients, and then inosculate in the given position of the original image. The watermark was detected...
In the scene matching aided-navigation system, there often exists rotation, scale difference and occlusion between actual image and reference image. According to the navigation system demands of robustness, instantaneity and precision, a multi-level algorithm based on adaptive polar transform is proposed for its robustness to rotation, scale difference and occlusion. In the matching process, the rectangle...
The extraction and matching of feature points is very important for measuring deformation fields of MR images. Current methods cannot extract and match enough feature points correctly when non-rigid soft biological tissues are deformed in MR images. The authors have therefore used SURF to extract feature points from initial MR images, utilizing every point in deformed MR images as feature points....
A method of design and implementation of watermarking copyright protection program based on MPEG-4 bit stream is proposed in this paper. The selected DCT coefficients are changed little to meet the specific relationship and represent one bit information. The watermark information is embedded in IVOP color quantized DCT DC coefficient. Not only video spectrum distribution is obtain without the additional...
A novel digital watermark against RST distortion based on SURF is proposed. The algorithm is the second watermark, SURF is fast than SIFT, so that the algorithm is faster, and the ability against RST is nearly the same with feature based SIFT. The watermark algorithm use odd-even detector properly to avoid the distortion procedure when watermark is embedded.
The current explosion of digital media creates threats towards the security in multimedia data broadcasting. Watermarking technique becomes a prospective solution to this coercion by means of Intellectual Property Right Protection, Authentication and Integrity Verification of digital media. In this paper we introduce an approach that enables us to develop a low power, real time, reliable and secure...
Device identification is an emerging field where technologies used to create a digital image are inferred by strategic image analysis. Some of the more well understood topics in this area include techniques to identify cameras, scanners and printers. The goal of printing-imaging cycle device identification is to gather information about the printing and imaging devices used to create, then digitally...
An image watermarking scheme resisting RST (rotation, scaling, translation) based on RST invariant square region is proposed in the paper. Two SIFT (scale-invariant feature transform) feature points are selected to determine the position, size, direction of the region. The watermark embedding and detection is completed in the square region with quantization, which could guarantee blind detection....
In object tracking identifying the best feature which discriminates object and background improves the performance. Most of the existing methods do not consider the suitability of such features for the tracker. Here we enhance the discriminative features which elevate the tracker performance. To accommodate object and background variations over time we dynamically update the best feature using a distance...
This paper explores the use of Two-Dimensional Robust Neighborhood Discriminant Embedding (2D-RNDE) as a means to improve the performance and robustness of face recognition. 2D-RNDE is based on graph embedding framework and Fisher's criterion, it can utilize the original two-dimensional image data directly and takes into account the Individual Discriminative Factor (IDF) which is proposed to describe...
In this paper, we propose a novel architecture to accelerate the Speeded Up Robust Features (SURF) algorithm by the use of configurable hardware. SURF is used in optical tracking systems to robustly detect distinguishable features within an image in a scale and rotation invariant way. In its performance critical part, SURF computes convolution filters at multiple scale levels without the need to create...
This paper proposes a fast template matching method based on normalized cross correlation (NCC). NCC is more robust against image variations such as illumination changes than the widely-used sum of absolute difference (SAD). A problem with NCC has been its high computation cost. To deal with this problem, we use adaptive block partitioning and initial threshold estimation to extend the multilevel...
Text data in an image present useful information for annotation, indexing and structuring of images. The gathered information from images can be applied for devices for impaired people, navigation, tourist assistance or georeferencing business. In this paper we propose a novel algorithm for text detection and localization from outdoor/indoor images which is robust against different font size, style,...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust higher-order MRFs and graph cut based optimization, which combines the conventional data and smoothness terms with the robust higher-order potential term...
Robust image hashing seeks to transform a given input image into a shorter hashed version using a key-dependent non-invertible transform. These image hashes can be used for watermarking, image integrity authentication or image indexing for fast retrieval. This paper introduces a new method of generating image hashes based on extracting Higher Order Spectral features from the Radon projection of an...
Image segmentation can be considered as the process of clustering image pixels of different image features. Clustering algorithm based on ant behaviors is a parallel, self-organized algorithm with sound discreteness, positive feedback and robustness. The basic ant colony algorithm is redundant in futile program loop, random in search mechanism and of which, the result is sensitive to the initial parameters...
This paper presents a dynamical decision method derived from ensemble decision method. It is designed to be robust with respect to abrupt change of sensor response. Abrupt change may be caused by impulsive noise, sensor degradation or transmission fault in the case of an autonomous sensor network. It can also be caused by inconsistency of sensor responses due to local or sudden break of one monitored...
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