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检索条件"主题词=transform coding"

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Semi-fragile Image Authentication Using Robust Image Hashing with Localization

Semi-fragile Image Authentication Using Robust Image Hashing...

引用

International Conference on Machine Vision (ICMV)

作者： Ammar M. Hassan Ayoub Al-Hamadi Bernd Michaelis Yassin M.Y. Hasan Mohamed A.A. Wahab IESK Otto-von-Guericke University of Magdeburg Magdeburg Germany CSI Department Taibah University Madinah Saudi Arabia EE Department Minia University Minia Egypt

The great advance in image processing demands a guarantee for assuring integrity of images. In this paper, a semi-fragile image authentication technique is proposed, which can detect and localize the malicious alteration distinguishing the content-preserving manipulations, such as JPEG compression, from the content alterations. The original image is divided into large blocks (sub-images) that are also divided into 8 × 8 blocks. Secure image hashing is utilized to generate the sub-image hash (signature) that may slightly change when the content-preserving manipulations are applied. Then, two sub-image hash copies are embedded into relatively-distant sub-images using a doubly linked chain, which prevents the vector quantization (VQ) attack. The hash bits are robustly embedded in chosen discrete cosine transform (DCT) coefficients exploiting a property of DCT coefficients that is invariant before and after JPEG compression. The experimental results show that the proposed technique successfully detects and localizes the content alterations only. Furthermore, It can effectively resist many attacks such as vector quantization attacks.

关键词： Authentication Robustness Watermarking Image coding Discrete cosine transforms Image processing transform coding Vector quantization Copyright protection Image storage

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High Embedding Reversible Data Hiding Scheme for JPEG

High Embedding Reversible Data Hiding Scheme for JPEG

引用

International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Wen-Chung Kuo Shao-Hung Kuo Lih-Chyau Wuu Department of Computer Science and Information Engineering National Formosa University Yunlin Taiwan National YunLin University of Science and Technology Yunlin Taiwan

Both Data hiding and data compression are very important technologies in the field of image processing. It seems that there is no relationship between data hiding and data compression because most of the data hiding mechanisms focus on information security and the data compression mechanisms emphasize the compression ratio. In fact, they are closely related. Until now, there are many literatures to discuss the secret data how to be embedded into the media image. Unfortunately, the stego-image's size will be increased when the media image is hidden a lot of secret data. In order to overcome this disadvantage, a reversible data hiding scheme based on EMD data hiding and JPEG compression technology will be proposed in this paper. According to the experimental results, we can prove that our proposed scheme still keeps high embedding capacity, security and good compression ratio.

关键词： Image coding transform coding Discrete cosine transforms Security Decoding Data mining Quantization

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Four-step genetic search for block motion estimation

Four-step genetic search for block motion estimation

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M.F. So A. Wu Electronic Design Automation Center Department of Electronic Engineering City University of Hong Kong Hong Kong China

Genetic algorithms (GA) are well known for searching global maxima and minima. In general, number of search points required by GA for searching global extreme is much lower than the exhausted search. GA have been applied to the block matching algorithm (BMA) and demonstrate positively its capability in the BMA. The mean square error (MSE) performance of GA based BMA is close to full-search (FS). However, the disadvantage of GA is the computational requirement for practical use. A four-step genetic search algorithm is proposed for the BMA. The proposed method takes advantage of GA and 4SS. The simulation result shows the proposed method has a similar performance to full-search (FS) in terms of the MSE. In addition, the number of search points required by the proposed algorithm is approximately equal to 14% of the FS and is close to three-step search (3SS). The speed up ratio between the proposed algorithm and FS is 5.6 times.

关键词： Motion estimation Distortion measurement Computational efficiency Genetic algorithms Image coding transform coding Electronic design automation and methodology Genetic engineering Design engineering Partial response channels

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Enhancement of MPEG/JPEG images based on histogram equalization without gamut problem

Enhancement of MPEG/JPEG images based on histogram equalizat...

引用

IEEE Workshop on Soft Computing in Industrial Applications (SMCia)

作者： Akira Taguchi Department of Biomedical Engineering Musashi Institute of Technology Setagaya Tokyo Japan

ISBN: (纸本)9781424437825

In the case of digital image/video processing, color images are represented in the YC b C r . The Y component is the luminance of the color. The other two components C b ,C r represent the color-difference component. The bandwidth of C b ,C r components are much smaller than that of luminance signal. Thus, this color space is suitable for image compression and adopted for JPEG and MPEG. The YC b C r color space is related with the HSI (hue, saturation, intensity) color space. The HSI color space is an ideal tool for developing image processing. In this paper, we propose a novel method which is combined the luminance enhancement and the saturation enhancement, in the YC b C r color space. The width and shape of (C b ,C r ) space is changed depending on the value of Y component. Since, the saturation enhancement method must be given limiting condition for the RGB color space, the constrained condition for the values of C b ,C r are derived. Thus, the proposed method is free from gamut problem.

关键词： Histograms Color transform coding Shape Image enhancement Biomedical computing Computer applications Computer industry Biomedical engineering Digital images

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Image compression using a mixed-transform technique and vector quantization

Image compression using a mixed-transform technique and vect...

引用

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： I. Singh P. Agathoklis A. Antoniou Department of Electrical and Computer Engineering University of Victoria Victoria BC Canada

A new technique for lossy image compression is proposed. The technique is based on the wavelet transform of the original image combined with the discrete cosine transform of the low-frequency scaling coefficients. The remaining wavelet coefficients are compressed using vector quantization. The technique was tested on a series of facial images and the results obtained indicate an average peak-signal-to-noise ratio of 34 dB at an average compression ratio of 60:1. Comparisons with other known coders have shown that the compression performance of the proposed technique is better than that of the JPEG coder and comparable with that of the EZW and SPIHT coders.

关键词： Image coding Vector quantization Wavelet coefficients transform coding Discrete cosine transforms Wavelet transforms Filters Testing Redundancy Pixel

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Two-dimensional trellis coded vector quantization of wavelet image

Two-dimensional trellis coded vector quantization of wavelet...

引用

International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Zheng Yong He Ning Zhu Weile College of Electronic Engineering University of Electronic Science and Technology Chengdu China

Based on the ideas of zerotree coding, vector classification, trellis coded quantization and small-size codebook expansion, the paper proposes a new encoding method of two-dimensional trellis coded vector quantization (2D-TCVQ) of a wavelet image with tree-structure vector combination and classification. Simulation results show that this method could achieve good compression results, and it has moderate encoding complexity and low decoding complexity. Also, the method is insensitive to channel error pervasion.

关键词： Vector quantization Image coding Discrete wavelet transforms Classification tree analysis Frequency Wavelet transforms Wavelet domain Image reconstruction transform coding Helium

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A selective transport framework for delivery MVC video over MPEG-2 TS

A selective transport framework for delivery MVC video over ...

引用

IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Deng Wu Lifeng Sun Shiqiang Yang Department of Computer Science and Technology Tsinghua University Beijing China

Multiview video has gained significant interest in recent years. Generally speaking, Multiview video has more than one views from slightly different angles of the same scene. The huge amount of video data and the heterogeneous network condition pose great challenge for the transport of multiview video through internet or broadcast networks. In order to support variety of 3D application scenarios, selective transport of multi view video has to be deployed. This paper proposes a priority based selective transport framework of multiview video over MPEG-2 Transport Stream. The proposed framework achieves selective transport by extracting the related view components from MVC video as well as discarding lowest priority view components without obstructing the decoding process at the receiver client when the transport bandwidth is insufficient. To the best of our knowledge, this paper is the first to investigate a priority-based selective transport framework for delivery MVC video over MPEG-2 transport stream.

关键词： transform coding Receivers Decoding Streaming media Prediction algorithms Three dimensional displays Bandwidth

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Residual Hybrid Attention Network for Compression Artifact Reduction

Residual Hybrid Attention Network for Compression Artifact R...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Bingchun Luo Wei Yu School of Computer Science and Technology Harbin Institute of Technology Weihai

Residual Hybrid Attention Network (RHAN) can restore images of arbitrary compression quality through flexibly fusing high-frequency features in the spatial and frequency domains based on the input quality factor. Specifically, to remove the compression artifacts, we propose a hybrid attention block (HAB) to adaptively restore the loss of high-frequency components, which parallelly predicts attention maps along two separate dimensions spatial and frequency spectra. To recover the compressed image flexibly and controllably, we further design a modulation decompression block (MDB), which employs a prior factor to learn a pair of modulation parameters and performs adaptively affine transformation on the obtained high-frequency features, thereby achieving high-quality image restoration at arbitrary compression levels. The quantitative and qualitative experiments on various public data sets show that the RHAN achieves the best performance and optimal visual perceptual quality in the JPEG image restoration with arbitrary compression levels.

关键词： Q-factor Visualization Adaptation models Image coding Frequency modulation Frequency-domain analysis transform coding

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A super-resolution image recovery of movies with an outer approximation of framewise MPEG quantization constraint

A super-resolution image recovery of movies with an outer ap...

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： H. Hasegawa T. Ono I. Yamada K. Sakaniwa Department of Communications & Integrated Systems Tokyo Institute of Technology Meguro Tokyo Japan

In this paper, we propose an iterative MPEG super-resolution method based on adaptive projected subgradient method as stated in Yamada and Ogura (2003). We propose an efficient operator that approximates convex projection onto a set characterizing framewise quantization, whereas a conventional method can only handle a convex projection defined for each DCT coefficient of a frame. By using the operator, the proposed method generates a sequence that converges to a solution of super-resolution problem defined in terms of quantization error of MPEG compression.

关键词： Image resolution Motion pictures Quantization transform coding Image coding Iterative methods Discrete cosine transforms Degradation Image converters Redundancy

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Performance evaluation of predictors for lossless compression of infrared images with high bit-depth

Performance evaluation of predictors for lossless compressio...

引用

IEEE Signal Processing and Communications Applications (SIU)

作者： Halil İ Cüce Nihat Tekeli TÜBİTAK BİLGEM İLTAREN Ankara Türkiye

The requirements for the storage and transmission of image data are rapidly increasing due to rapid developments in technology. The storage and transmission of huge amount of the image data can be expensive. Researches on reducing the cost of storage and transmission and giving an opportunity to new applications keep still popularity. Many image compression schemes perform lossy compression. Lossy compression scheme meets the requirements for many applications. However, the needs for lossless image compression keep necessity for medical, scientific and professional applications. One of the crucial steps used in the lossless image compression is the prediction to remove spatial redundancy. In this paper, a comparative study on the efficiency of predictors mostly used in the lossless image compression has been done for the infrared images with high bit-depth acquired for scientific purposes and experimental results have been presented as well.

关键词： Image coding transform coding Conferences Standards High definition video

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