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检索条件"主题词=transform coding"

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Evaluation of floating point image compression

Evaluation of floating point image compression

引用

International Workshop on Quality of Multimedia Experience, QoMEx

作者： Thomas Richter RUS Computing Center University of Stuttgart Stuttgart Germany

Recently, compression of high dynamic range (HDR) photography gained attention in the standardization of the Microsoft HDPhoto compression scheme as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space can represent images up to a dynamic range of about 3.5 magnitudes in luminance - a noteworthy improvement over the 1.6 magnitudes possible in sRGB - even higher ranges are more efficiently represented by floating-point number formats. However, traditional means to evaluate image quality are rarely suitable for such data: They are often only calibrated to low dynamic ranges (LDR) of 8 bpp, and are not designed to take the peculiarities of floating-point data into account. In this work, we present two approaches to deal with this problem by introducing a (mathematical) quality index more suitable to floating point data related to SSIM and by presenting an independent image quality evaluation framework that is able to apply LDR metrics to HDR data. The presented ideas are then tested on the HDPhoto floating point compression, on a proprietary backwards compatible extension of JPEG and on a proposed floating point compression scheme based on JPEG 2000 that is also proven to be optimal in the proposed quality index. It is then shown that both approaches, the proposed metric and PSNR in the LDR domain, deliver comparable results.

关键词： Image coding Dynamic range Image quality Pixel Photography transform coding PSNR Humans Visual system Signal processing algorithms

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Image Hashing Algorithm via Iterative Scale Interaction Geometric Model

Image Hashing Algorithm via Iterative Scale Interaction Geom...

引用

Congress on Image and Signal Processing, CISP

作者： YuanYuan Hu XiaMu Niu Hui Zhang Information Security Technique Research Center Harbin Institute of Technology Shenzhen China

Directional content-preserving features are extracted instead of the global ones. It first detects the initial curvature feature points based on the scale interaction model using Gabor filters with various scales in different directions. Then, the iterative geometric method is proposed to exact the content-preserving feature points. Next, by the radon transform, the two-dimensional distributing is mapped to one-dimensional feature vector. Finally, the one-dimensional feature vectors are quantized to get the hashing. It is verified that the proposed algorithm has a better robustness of standard benchmark (e.g. Stirmark) attacks including JPEG compression (QF=5), geometric distortions of cropping (more than 30%), rotation (more than 10 degree), and common signal processing operations. Moreover, malicious content changing manipulations of image data are also detected. The algorithm has a wide application in identification/search of images in large databases and content-based image authentication, etc.

关键词： Iterative algorithms Solid modeling Signal processing algorithms Feature extraction Gabor filters Iterative methods Robustness transform coding Image coding Distortion

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On the use of color appearance modeling for efficient compressed-domain image enhancement

On the use of color appearance modeling for efficient compre...

引用

IEEE International Conference on Image Processing

作者： Maria Chatzigiorgaki Athanassios N. Skodras School of Science and Technology Hellenic Open University Patras Greece

In this paper we propose a compressed-domain image enhancement algorithm based on color appearance modeling. We aim at providing an efficient high-quality JPEG color image enhancement algorithm, in terms of color boosting and low computational cost. For that purpose, the high-performance recently proposed iCAM06 model has been adopted, where a wide range of color appearance phenomena are predicted in an efficient manner. In order to reduce the computational complexity, a pseudo-pixel extraction algorithm is applied to the four low-frequency DCT coefficients of each block, resulting in a scaled RGB version of the input image (directly in the DCT domain), where the iCAM06 model is then applied. To cope with the problem of inadequate information of small-sized images, as only 6.25% of the DCT coefficients are used, a 2-fold upsampling is performed at a preprocessing stage. The proposed algorithm outperforms relevant methods, as it is validated by the comparative results.

关键词： Image coding Image enhancement Discrete cosine transforms transform coding Color Boosting Computational efficiency Predictive models Computational complexity Data mining

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Semi-Fragile Watermark Based on Adaptive Quantization for Image Content Authentication

Semi-Fragile Watermark Based on Adaptive Quantization for Im...

引用

International Conference on E-Business and Information System Security, EBISS

作者： Cong Jin Yan Chao Xiao-Liang Zhang Department of Computer Science Central China Normal University Wuhan China

A novel semi-fragile watermark scheme for image authentication is proposed in this paper. New scheme extracts the image content features from the low frequency domain to generate watermarks, inserts obtained feature into the image by modulating the wavelet domain, and the watermark generation and embedment are disposed in the image. To enhance the robustness and invisibility, the adaptive quantization is used, and quantization step is calculated according to the local image characteristics. The integrity authentication and tamper detection are implemented by comparing the extracted watermark and the extracted content feature. Experimental result shows that the proposed scheme is robust to common image processing (such as JPEG compression, noise-adding, filtering), but malicious changes of the image will result in alarms of the watermark detection. In addition, proposed scheme can detect the exact locations-the illegal modified blocks.

关键词： Watermarking Quantization Authentication Frequency domain analysis Wavelet domain Feature extraction Noise robustness Image processing transform coding Image coding

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Anti-Geometrical Attacks Image Watermarking Scheme Based on Template Watermark

Anti-Geometrical Attacks Image Watermarking Scheme Based on ...

引用

IEEE International Symposium on Computer Network and Multimedia Technology, CNMT

作者： Rong-sheng Xie Ming Zhou Cui-lan Huang Yuan-min Li Department of computer science and technology Xiamen University of Technology Xiamen Fujian China

This paper proposes a novel anti-geometrical attacks digital image watermarking scheme. In the scheme, a kind of template watermark is proposed, and we embed template watermark as well as robust watermark into images. The template watermark is designed to detect the geometrical transformation, and the robust watermark is used for labeling the copyright. Given a disputed digital image, we first implement the template watermark detecting to determine the geometrical transformation the image went through, and then extract the robust watermark. To improve the detecting precision, regional watermarking algorithm is also proposed. The experiments demonstrate that the proposed scheme can well resist such geometrical attacks as rotation, scaling, cropping, as well as the JPEG compression.

关键词： Watermarking Robustness Resists Digital images Frequency domain analysis Paper technology Computer science Labeling transform coding Image coding

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A novel approach using transformation techniques and decision tree algorithm on images for performing Digital Watermarking

A novel approach using transformation techniques and decisio...

引用

International Conference for Internet Technology and Secured Transactions (ICITST)

作者： Samir B. Patel Tejas B. Mehta Shrikant N. Pradhan Computer Science and Engineering Department Normal University of Science and Technology Ahmedabad Gujarat India

Digital Watermarking is an emerging copyright protection technology. The paper presents a new robust watermarking technique based on combining the power of transform domain technique, the Discrete Cosine transform (DCT) and the data mining technique such as Decision Tree Induction (ID3). The paper focuses on a technique through which the notion of decision tree can be applied on transformed vectors to build the decision tree. We train the image blocks for deriving the classification tree. The resulting decision tree provides decision making rules to identify good quality image blocks for insertion of watermark. The implementation results have shown that the algorithm has an acceptable robustness against the JPEG compression and addition of noise.

关键词： Decision trees Watermarking Discrete cosine transforms Copyright protection Discrete transforms Data mining Classification tree analysis Decision making Noise robustness transform coding

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Eigenphases for corrupted face images

Eigenphases for corrupted face images

引用

International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Naser Zaeri Electrical Engineering Department Kuwait University Safat Kuwait

Corrupted face image is one of the important obstacles that machine vision systems encounter when trying to recognize faces. In this paper, we propose a new face recognition system that can deal with the problem of corrupted images more efficiently. The new technique applies the principal component analysis to the phase spectrum of the Fourier transform of the covariance matrix constructed from the MPEG-7 Fourier Feature Descriptor vectors of the images. It will be shown that the proposed technique increases the face recognition rate when applied to images of low resolution and corrupted by noise, compared to other known methods.

关键词： Face recognition Principal component analysis MPEG 7 Standard Image databases Face detection transform coding Covariance matrix Spatial databases Machine vision Streaming media

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Image Compression Based on Truncated HOSVD

Image Compression Based on Truncated HOSVD

引用

International Conference on Information Engineering and Computer Science (ICIECS)

作者： Chang Liu Jiliu Zhou Kun He School of Computer Science Sichuan University Chengdu China

The paper presents a novel image compression technique. Inspired by High Order Singular Value Decomposition (HOSVD), the technique respects each image both gray image and color image as a high order tensor and discards singular sub-tensor corresponding smaller singular value to implement image compression. The paper also proves that HOSVD is naturally the extension of matrix SVD. The comparison experiments show that the image compression technique based on truncated HOSVD has better performance than JPEG.

关键词： Image coding Tensile stress transform coding IEC standards ISO standards Singular value decomposition Color Matrix decomposition Bandwidth Image storage

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An adaptive steganographic technique based on integer wavelet transform

An adaptive steganographic technique based on integer wavele...

引用

International Conference on Networking and Media Convergence, ICNM

作者： R. O. El Safy H. H. Zayed A. El Dessouki Faculty of Engineering Benha University Egypt Faculty of Computers Benha University Egypt Remote Sensing and Space Sciences

Steganography gained importance in the past few years due to the increasing need for providing secrecy in an open environment like the internet. With almost anyone can observe the communicated data all around, steganography attempts to hide the very existence of the message and make communication undetectable. Many techniques are used to secure information such as cryptography that aims to scramble the information sent and make it unreadable while steganography is used to conceal the information so that no one can sense its existence. In most algorithms used to secure information both steganography and cryptography are used together to secure a part of information. Steganography has many technical challenges such as high hiding capacity and imperceptibility. In this paper, we try to optimize these two main requirements by proposing a novel technique for hiding data in digital images by combining the use of adaptive hiding capacity function that hides secret data in the integer wavelet coefficients of the cover image with the optimum pixel adjustment (OPA) algorithm. The coefficients used are selected according to a pseudorandom function generator to increase the security of the hidden data. The OPA algorithm is applied after embedding secret message to minimize the embedding error. The proposed system showed high hiding rates with reasonable imperceptibility compared to other steganographic systems.

关键词： Steganography Wavelet transforms Discrete wavelet transforms Discrete Fourier transforms Data encapsulation Image coding Fourier transforms Discrete cosine transforms transform coding Cryptography

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A Semi-fragile Image Watermarking Resisting to JPEG Compression

A Semi-fragile Image Watermarking Resisting to JPEG Compress...

引用

International Conference on Management of e-Commerce and e-Government, ICMECG

作者： Xiangqing Wang Jun Wang Hong Peng School of Electrical Information Engineering Xihua University Chengdu China

Semi-fragile watermark has attracted attention due to its important role in content authentication for multimedia. In order to distinguish malicious tampering from incidental attacks, semi-fragile watermark must be robust against content-protection image processing. Due to the widely use of JPEG compression, it is always an important subject of semi-fragile watermarking research to improve the performance of anti-JPEG compression under the condition of maintaining high tempering detection abilities. In this paper, after wavelet high frequency coefficients LH 2 and HL 2 are partitioned into coefficient blocks respectively, the energy of each coefficient block is computed. Watermark information is embedded according to the relative coefficient energy relationships. The experimental results show that the proposed algorithm has the advantages such as the objective and subjective image quality assurance, high performance of anti-JPEG compression, larger amount of embedded information, and exact location of malicious attacks.

关键词： Watermarking transform coding Image coding Authentication Partitioning algorithms Protection Discrete cosine transforms Security Discrete wavelet transforms Robustness

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