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High-Capacity Data Hiding in Encrypted images using MSB Prediction 6

High-Capacity Data Hiding in Encrypted Images using MSB Pred...

引用

6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Puteaux, Pauline Trinel, Dave Puech, William Univ Montpellier CNRS LIRMM Lab UMR 5506 Montpellier France Lille Univ Sci & Technol CNRS UGSF Glycobiol Struct & Funct UnitTISBioUMR 8576 Lille France

ISBN: (纸本)9781467389105

In the last few years, visual privacy has become a major problem. Because of this, encrypted image processing has received a lot of attention within the scientific and business communities. Data hiding in encrypted images (DHEI) is an effective technique to embed data in the encrypted domain. The owner of an image encrypts it with a secret key and it is still possible to embed additional data without knowing the original content nor the secret key. This secret message can be extracted and the initial image can be recovered in the decoding phase. Recently, DHEI has become an investigative field, but the proposed methods do not allow a large amount of embedding capacity. In this paper, we present a new method based on the MSB (most significant bit) prediction. We suggest to hide one bit per pixel by pre-processing the image to avoid prediction errors and, thereby, to improve the quality of the reconstructed image. We have applied our method to various images and, in every cases, the obtained image is very similar to the original one in terms of PSNR or SSIM.

关键词： image pre-processing image encryption image recovery data hiding MSB prediction

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Multi-modal Subspace Learning with Dropout regularization for Cross-modal Recognition and Retrieval 6

Multi-modal Subspace Learning with Dropout regularization fo...

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Cao, Guanqun Waris, Muhammad Adeel Iosifidis, Alexandros Gabbouj, Moncef Tampere Univ Technol Dept Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)9781467389105

There has been a surge of efforts in cross-modal recognition and retrieval in recent multimedia research. Towards this goal, we investigate a multi-modal subspace learning algorithm together with the Dropout regularizer. Inspired by the regularization for neural networks, we propose to aritificially remove the effect of certain amount of feature bins using the probabilistic approach to prevent the linear subspace learning from over-fitting. The novel regularizer is well integrated into the multi-modal learning algorithm which maximizes the between-class scatter while minimizing the within-class scatter in the projected latent space. The new objective function can be solved efficiently as the generalized eigenvalue problem. Experimental results have shown that superior performance can be obtained in both face-sketch recognition and cross-modal retrieval applications.

关键词： subspace learning face-sketch recognition cross-modal retrieval

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On the value of graph-based segmentation for the analysis of structural networks in life sciences

On the value of graph-based segmentation for the analysis of...

引用

European signal processing conference

作者： Denis BUJOREANU PEJMAN RASTI DAVID ROUSSEAU CREATIS Université de Lyon Villeurbanne France INRA Université d’ Angers Beaucouzé France

We propose, under the form of a short overview, to stress the interest of graph to encode the "topological" structure of networks hidden in images especially when applied in life sciences. We point toward existing computer science tools to extract such structural graph from images. We then illustrate different applications, such as segmentation, denoising, and simulation on practical examples of various bioimaging domains including vascular networks observed with fluorescent microscopy in 2D imaging, macroscopic root systems observed in 2D optical intensity imaging, and 3D porosity networks of seed observed in absorption x-ray microtomography.

关键词： image segmentation Imaging Muscles Topology Measurement Skeleton Three-dimensional displays

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Color Correction in image Stitching Using Histogram Specification and Global Mapping 6

Color Correction in Image Stitching Using Histogram Specific...

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Tian, Qi-Chong Cohen, Laurent D. Univ Paris 09 PSL Res Univ CNRS CEREMADEUMR 7534 F-75016 Paris France

ISBN: (纸本)9781467389105

Color correction is an important problem in image stitching. There is a color inconsistency issue between the images ( good quality as a reference image and bad quality as a test image) to be stitched. This paper presents a color correction approach with histogram specification and global mapping. The proposed algorithm can make images share the same color style and obtain color consistency. There are four main steps in this algorithm. Firstly, overlapping regions between a reference image and a test image are obtained. Secondly, an exact histogram specification is conducted for the overlapping region in the test image using the histogram of the overlapping region in the reference image. Thirdly, a global mapping function is obtained by minimizing color differences with an iterative method. Lastly, the global mapping function is applied to the whole test image to produce a color corrected image. Both synthetic dataset and real dataset are tested. The experiments demonstrate that the proposed algorithm outperforms other methods both quantitatively and qualitatively.

关键词： color correction color transfer image stitching histogram specification global mapping curve

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Towards Skin image Mosaicing 6

Towards Skin Image Mosaicing

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Faraz, Khuram Blondel, Walter Amouroux, Marine Daul, Christian Univ Lorraine CRAN UMR 7039 2 Ave Foret Haye F-54516 Vandoeuvre Les Nancy France CNRS CRAN UMR 7039 F-54516 Vandoeuvre Les Nancy France

ISBN: (纸本)9781467389105

This paper presents a framework for mosaicing high resolution skin video sequences in the context of teledermatology. While considering different stages of the mosaicing pipeline, including stitching and blending, several feature- and intensity-based image registration approaches are compared. Their performances in terms of quantitative and qualitative results are discussed so as to move towards the selection of the most suited approach. Although the intensity based approach proved to be more precise over short displacements, the feature based approach is advantageous in terms of computation time apart from being more reliable over large displacements, thus permitting a faster mosaic construction by skipping over some frames in the sequence.

关键词： image mosaicing image registration Optical flow Teledermatology Skin

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On norms of operators generated by shift transformations arising in signal and image processing on meshes supplied with semigroup structures 11

On norms of operators generated by shift transformations ari...

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11th International conference on Mesh Methods for Boundry-Value Problems and applications

作者： Gumerov, R. N. Kazan Volga Reg Fed Univ NI Lobachevskii Inst Math & Mech Chair Math Anal Kremlevskaya 35 Kazan 420008 Tatarstan Russia

Shift transformations and linear operators generated by shifts have a number of applications in signal and image processing. This note is concerned with a problem which has arisen in studying properties of real-world signals and images defined on meshes. For processing we suggest to introduce in domains of signals and images different semigroup structures. Semigroup operations give us opportunities to introduce shift transformations of signals and images. We study norms of polynomial filters generated by shift operators.

关键词： Linear transformations

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Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis 6

Enhancement of micro-channels within the human mastoid bone ...

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Cros, Olivier Eklund, Anders Gaihede, Michael Knutsson, Hans Linkoping Univ Dept Biomed Engn Linkoping Sweden Linkoping Univ Ctr Med Image Sci & Visualizat CMIV Linkoping Sweden Linkoping Univ Dept Comp & Informat Sci Linkoping Sweden Aalborg Univ Hosp Dept Otolaryngol Head & Neck Surg Aalborg Denmark Aalborg Univ Dept Clin Med Aalborg Denmark

ISBN: (纸本)9781467389105

Numerous micro-channels have recently been discovered in the human temporal bone by x-ray micro-CT-scanning. After a preliminary study suggesting that these microchannels form a separate blood supply for the mucosa of the mastoid air cells, a structural analysis of the micro-channels using a local structure tensor was carried out. Despite the high-resolution of the micro-CT scan, presence of noise within the air cells along with missing information in some micro-channels suggested the need of image enhancement. This paper proposes an adaptive enhancement of the micro-channels based on a local structure analysis while minimizing the impact of noise on the overall data. Comparison with an anisotropic diffusion PDE based scheme was also performed.

关键词： Structure tensor analysis image enhancement Adaptive filtering Human temporal bone Mastoid bone Microchannels

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Classification of image Degradation Using Riesz Transform 23

Classification of Image Degradation Using Riesz Transform

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23rd International conference on Systems, signals and image processing (IWSSIP)

作者： Bjelopera, Anamaria Dumic, Emil Grgic, Sonja Univ Dubrovnik Dept Elect Engn & Computing Cira Carica 4 HR-20000 Dubrovnik Croatia Univ North Dept Elect Engn 104 Brigade HR-42000 Varazhdin Croatia Univ Zagreb Fac Elect Engn & Computing Dept Wireless Commun Unska 3 HR-10000 Zagreb Croatia

ISBN: (纸本)9781467395557

This paper presents new method for classification of type of image degradation based on the Riesz transform and BRISQUE no-reference quality measure. Riesz transform has great properties and it can be used in many applications. Some of its benefits are: the ability to construct family of steerable wavelets with arbitrary order and any number of dimensions and it can bring the algorithm of filter banks with perfect reconstruction and also go to dimensions higher than two. Statistical properties of MSCN coefficients used by BRISQUE change in presence of distortion and by quantifying this changes with features calculated by using GGD and AGGD model the class of distortion can be determined. We calculated 18 statistical features out of spatial coefficients defined by BRISQUE measure and 19 parameters out of Riesz coefficients to get 37 features in total and then used features as input in SVM regressor in order to identify the type of image degradation. Then, we compared new method with BRISQUE method by using McNemar's statistical test to show statistical significance of our method.

关键词： image degradation Riesz transform BRISQUE MSCN coefficients statistical significance

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Using Web images as Additional Training Resource for the Discriminative Generalized Hough Transform 6

Using Web Images as Additional Training Resource for the Dis...

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Mader, Alexander Oliver Schramm, Hauke Meyer, Carsten Kiel Univ Appl Sci Inst Appl Comp Sci Kiel Germany Univ Kiel CAU Fac Engn Dept Comp Sci Kiel Germany

ISBN: (纸本)9781467389105

Many algorithms in computer vision, e.g., for object localization, are supervised and need annotated training data. One approach for object localization is the Discriminative Generalized Hough Transform (DGHT). It achieves state-of-the-art performance in applications like iris and epiphysis localization, if the amount and quality of training data is sufficient. This motivates techniques for extending the training corpus with limited manual effort. In this paper, we propose an active learning scheme to extend the training corpus by automatically and efficiently harvesting and selecting suitable Web images. We aim at improving localization performance, while reducing the manual supervision to a minimum. Our key idea is to estimate the benefit of a particular candidate Web image by analyzing its Hough space generated using an initial DGHT model. We show that our method performs similarly to a manual selection of Web images as well as a computationally intensive state-of-the-art approach.

关键词： Dataset Expansion Active Learning image Selection Object Localization Discriminative Generalized Hough Transform

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Multiple Description Coding Based on Enhanced x-tree 6

Multiple Description Coding Based on Enhanced X-tree

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6th International conference on image processing Theory, Tools and applications (IPTA)

作者： Cai, Canhui Chen, Jing Zeng, Huanqiang Huaqiao Univ Sch Engn Quanzhou 362021 Peoples R China Huaqiao Univ Sch Informat Sci & Engn Xiamen 361021 Peoples R China

ISBN: (纸本)9781467389105

This paper proposes a multiple description image coding scheme based on 2D dual-tree transform and the enhanced x-tree encoding method. The input image is firstly mapped into 2D dual-tree discrete wavelet domain to form 2 wavelet coefficient trees. A sparse algorithm is then used to remove the most redundant wavelet coefficients resulted from dual-tree discrete wavelet transform (DDWT), forming the basic component of both descriptions, respectively. In order to improve the quality of the side reconstruction, a side sparse algorithm is then imposed on two sparse coefficient trees to produce the additional for both side decoding. The basic information from one tree and additional information from the other are sent to an enhanced x-tree encoder, which is proposed to exploit the strong correlation between two wavelet trees resulted from DDWT, forming the bitstream of a description. Since each description includes the basic information and part of details of the input image, even one of the descriptions gets lost, the reconstructed image can still keep acceptable quality. Simulation results have verified that the proposed algorithm has good coding performance and error resilient ability.

关键词： Multiple description coding dual-tree discrete wavelet transform enhanced x-tree coding

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