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Performance comparison of JPEG, JPEG2000 & JPEG XR image compression standards

Performance comparison of JPEG, JPEG2000 & JPEG XR image com...

引用

IEEE signal processing and Communications applications (SIU)

作者： Emir Öztürk Altan Mesut Aydın Carus Bilgisayar Mühendisliği Bölümü Trakya Üniversitesi Edirne Türkiye

In this study, the performances of JPEG (the most widely used lossy image compression standard until it was published in 1992), JPEG2000 (designed to provide superior image quality at low bit rates) and JPEG XR (aimed to reach the speed of JPEG and the quality of JPEG2000) are evaluated with an application developed in C# language which is able to use different codecs. The results show that recently developed JPEG standard (JPEG XR) is able to compress images with the same quality as JPEG2000, but not the same speed as JPEG.

关键词： Transform coding image coding Codecs Media Standards Discrete cosine transforms Discrete wavelet transforms

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Generalized optimum dynamic bit allocation scheme for source compression

Generalized optimum dynamic bit allocation scheme for source...

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IEEE International conference on image processing

作者： Kai-Kuang Ma S.A. Rajala Institute of Microelectronics (IME) National University of Singapore Singapore Singapore Department of Electrical & Computer Engineering Ctr. for Communication & Signal Processing North Carolina State University Raleigh NC USA

Dynamic bit allocation directly impacts the overall coding performance in block transform (e.g., DCT, Hadamard, etc.) coding, subband coding, and wavelet coding. In very low bit rate coding (such as the evolving MPEG-4 standard), additional factors impacting the bit allocation process need to be identified and properly exploited to achieve optimal coding performance. In the paper, a generalized optimum dynamic bit allocation algorithm is presented. The algorithm is based on the Shannon rate-distortion bound and a weighted distortion criterion using a Lagrange multiplier optimization technique. The results look promising for applications in real-time multimedia communications.< >

关键词： Bit rate wavelet transforms Discrete cosine transforms Error correction Error correction codes MPEG 4 Standard Heuristic algorithms Rate-distortion Lagrangian functions Multimedia communication

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L1-norm-based coding for lattice vector quantization

L1-norm-based coding for lattice vector quantization

引用

Asia-Pacific signal and Information processing Association Annual Summit and conference (APSIPA)

作者： Wisarn Patchoo Thomas R. Fischer Curtis Maddex School of Engineering Bangkok University Pathumthani Thailand School of Electrical Engineering and Computer Science Washington State University Pullman WA USA

A lattice vector quantization encoding method is developed based on ℓ 1 -norm-based enumeration and bit-plane coding. The algorithm is implemented for the cubic lattice, can handle arbitrary vector dimension, and is suitable for transform, subband, or wavelet coding applications. Moreover, the algorithm can possibly extend to other binary lattices.

关键词： Lattices Vectors Transforms signal to noise ratio Channel coding image coding

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Mathematical Model for Detection of Dissimilar Patterns of Speech signal of Chhattisgarhi Dialects using wavelet Transformation

Mathematical Model for Detection of Dissimilar Patterns of S...

引用

2011 International conference on signal,image processing and applications（ICSIA 2011）

作者： Madhuri Gupta Akhilesh Tiwari S.S.C.E.T Bhilai(Chhattisgarh)

This paper will presents a mathematical model of finding a relations between dissimilar speeches signals which are speaker independent taken from common set of samples of Chhattisgarhi language and dialects commonly spoken at different regions of *** objective of this paper is to detect similar and dissimilar patterns of different Chhattisgarhi dialects through wavelet analysis methods which are useful for complex speech signal analysis.

关键词： Speech Recognition,Speech parameterization,wavelet transformation.

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Double-density dual-tree wavelet-based polarimetry analysis

Double-density dual-tree wavelet-based polarimetry analysis

引用

IEEE National conference on Aerospace and Electronics (NAECON)

作者： Kyle Harrity Soundararajan Ezekiel Adnan Bubalo Erik Blasch Mark Alford Indiana University of Pennsylvania Indiana PA Air Force Research Laboratory Rome NY

For the past two decades, the Discrete wavelet Transformation (DWT) has been successfully applied to many fields. For image processing applications, the DWT can produce non-redundant representations of an input image with greater performance than other wavelet methods. Further, the DWT provides a better spatial and spectral localization of image representation, capable of revealing smaller changes, trends, and breakdown points that classical methods often miss. However, the DWT has its own limitations and disadvantages such as lack of shift invariance. That is, if the input signal or image is shifted, then the wavelet coefficients will exacerbate that shift. The DWT also lacks the ability to represent directional cases. The Double Density Dual-Tree Discrete wavelet Transformation (D3TDWT) is a relatively new and enhanced version of the DWT with two scaling functions and four distinct wavelets designed in such a way that one pair of wavelets is offset with another pair so that the first pair lies in between the second. In this paper, we propose a D3TDWT polarimetry analysis method to analyze Long Wave Infrared (LWIR) polarimetry imagery to discriminate objects such as people and vehicles from background clutter. The D3TDWT method can be applied to a wide range of applications such as change detection, shape extraction, target recognition, and simultaneous tracking and identification.

关键词： Discrete wavelet transforms image segmentation Polarimetry image edge detection Target tracking

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Very Lowbit Rate ideo Codec Based on Diffrentialwavelet Filters

Very Lowbit Rate ideo Codec Based on Diffrentialwavelet Filt...

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International conference on Computational Science and its applications (ICCSA)

作者： Mostafa A. Ahmad Ayoub Al-Hamadi Gerald Krell B. Michaelis Signal Processing and Communications Otto-von-Guericke University Magdeburg Magdeburg Germany

State-of-the-art in digital coding/decoding includes discrete image transformation, quantization, and entropy coding. The key to efficient data compression is associated with image transformation/reconstruction processes. In this paper, we present a different filters wavelet-based intra-frame video coding technique. The wavelet transformation is developed and optimized in order to enhance the visual quality especially at very low bit rate. The proposed coding technique reduces the bit rate while performing well regarding PSNR and visual quality. In comparison with the conventional coding methods, our proposed coding technique provides significant performance gains in objective and subjective quality.

关键词： Codecs Filters Bit rate image coding Decoding Quantization Entropy coding Data compression image reconstruction Video coding

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A scalable video compression algorithm for real-time Internet applications

A scalable video compression algorithm for real-time Interne...

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IEEE Region 8 International Symposium on Video/image processing and Multimedia Communications (EURASIP)

作者： M. Johanson Alkit Communications AB Molndal Sweden

Ubiquitous use of real-time video communication on the Internet requires adaptive applications that can provide different levels of quality depending on the amount of resources available. For video coding this means that the algorithms must be designed to be scalable in terms of bandwidth, processing requirements and quality of the reconstructed signal. This paper presents a novel video compression and coding algorithm targeted at delay-sensitive applications in heterogeneous network and computing environments. The algorithm, based on the embedded zerotree wavelet algorithm for still image compression, generates a highly scalable layered bitstream that can be decoded at different qualities in terms of spatial resolution, frame rate and compression distortion. Furthermore, the algorithm is designed to require only a minimal coding delay, making it suitable for highly interactive applications like videoconferencing. The performance of the proposed algorithm is evaluated by comparison with a nonscalable codec and the penalty in compression efficiency that the scalability requirement imposes is analyzed. The codec is shown to produce a scalable bitstream ranging from about 10 kbps to 10 Mbps, while the computational complexity is kept at a level that makes software implementation on CPU-constrained equipment feasible.

关键词： Video compression Internet image coding Algorithm design and analysis Codecs Video coding signal design Bandwidth image reconstruction signal processing

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A High-Speed Computational Pipeline Single MAC-Based VLSI Architecture for Real-Time signal and image processing 4

A High-Speed Computational Pipeline Single MAC-Based VLSI Ar...

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4th International conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Vaithiyanathan, Dhandapani James, Britto Pari Mariammal, Karuthapandian National Institute of Technology Delhi Delhi110036 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Chennai600062 India Anna University Madras Institute of Technology Chennai600044 India

ISBN: (纸本)9798350343670

VLSI architectures play a vital role in most real-time applications because of their optimal performance. In this work, a single MAC (Multiply-Accumulate) based pipelined architecture is proposed for faster computation of the one-dimension (1-D) discrete wavelet transform (DWT). The main objective of this work is to reduce computational complexity by utilizing resource sharing and to enhance the speed of operation by employing a pipelining scheme. The designed single MAC-based architecture for computing DWT is suitable for infrasound data processing which employs a high-pass filter (HPF) and low-pass filter (LPF). The architecture efficiently implements a resource-sharing scheme by adopting only these two filters. In addition, in this realization, pipelining is utilized to achieve high-speed computation of DWT. Further, this design makes use of common elements several times which provide a convenient and suitable implementation. The proposed structure is coded using Verilog and implemented in FPGA (Field Programmable Gate Array) hardware with the Xilinx platform. Intending easily transported and real-time utilization, this architecture is realized using Xilinx Virtex-5 series FPGA. The area of the proposed architecture is reduced by about 44.8% when examining conventional parallel MAC architecture. Likewise, this pipelined design offers power conservation of about 31.97% over the parallel design. Further, the proposed architecture offers an operating speed of 276MHz with a power conservation of 200mW at 276MHz clock frequency. © 2024 IEEE.

关键词： DWT FPGA Device High-Speed Low-Power MAC Pipelining VLSI Architecture

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Architecture of wavelet packet transform for 1-D signal

Architecture of wavelet packet transform for 1-D signal

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Canadian conference on Electrical and Computer Engineering (CCECE)

作者： S.M. Aroutchelvame K. Raahemifar Department of Electrical & Computer Engineering Ryerson University Toronto ONT Canada

Many signal and image processing applications will be more benefited if the transform gives good spectral and temporal resolution in arbitrary regions of the time-frequency plane that is provided by the discrete wavelet packet transform (DWPT). In this paper, the architecture for lifting scheme based Daubechies 9/7 wavelet is proposed. The proposed architecture performs both forward and inverse transform. The architecture does not require any extra memory/FIFOs to store the intermediate results. The proposed architecture is verified by performing DWPT for images of size 64times64. The architecture has been described in VHDL at the RTL level and simulated successfully using ModelSim simulation environment

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Input buffering requirements of a systolic array for the inverse discrete wavelet transform

Input buffering requirements of a systolic array for the inv...

引用

International conference on Application Specific Array Processors

作者： R. Lang A. Spray Application Specific Computer Design Department of Electrical and Computer Engineering University of Newcastle Australia Application Specific Computer Design Department of Electrical and Computer Engineering University of Newcastle Australia

The Discrete wavelet Transform (DWT) is a signal processing technique popularised by its results in data compression. Considerable work has been done in designing novel architectures to perform the DWT, including a systolic architecture designed by the authors, but little attention has been given to the inverse DWT which is needed in applications such as data compression for signal reconstruction. Despite the fact that the inverse DWT is computationally the reverse of the DWT, the hardware design for the architecture is not simply mirrored. Existing designs expect the architecture for the inverse DWT to be a simple follow-on step from the DWT design, however this is not the case. We present one such problem here, showing the FIFO buffering required on the input of the inverse architecture. We show how the size of this buffer can be calculated and compare it to a fixed data array implementation. This work is based on our systolic array design and is an integral part of the inverse DWT design we are working on for image and video compression.

关键词： Discrete wavelet transforms Systolic arrays Low pass filters Computer architecture signal design Filtering Data compression signal processing Array signal processing Hardware

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