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Data pruning-based compression using high order edge-directed interpolation

Data pruning-based compression using high order edge-directe...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Dung Trung Vo Joel Sole Peng Yin Cristina Gomila Truong Nguyen Video Processing Laboratory University of California San Diego CA USA Thomson Corporate Research Princeton NJ USA

This paper proposes a data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are pruned to a smaller size before compression. After decoding, they are interpolated to their original size by an edge-directed interpolation. The data pruning is optimized to obtain the minimal distortion in the interpolation phase. Furthermore, a novel high order interpolation is proposed to adapt the interpolation to many edge directions. This high order filtering uses extra surrounding pixels and achieves more robust edge-directed image interpolation. Simulation results are shown for both image interpolation and coding applications.

关键词： Interpolation image reconstruction image coding Video compression Decoding Video coding image resolution wavelet transforms Transform coding Frequency

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

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

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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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ℓ1-adapted non separable vector lifting schemes for stereo image coding

ℓ1-adapted non separable vector lifting schemes for stereo ...

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European signal processing conference (EUSIPCO)

作者： M. Kaaniche B. Pesquet-Popescu J.-C. Pesquet Signal and Image Proc. Department Telecom Paris Tech Paris France LIGM and UMR-CNRS 8049 Champs-sur-Marne Université Paris-Est Marne-la-Vallee France

Due to the great interest of stereo images in several applications, it becomes mandatory to improve the efficiency of existing coding techniques. For this purpose, many research works have been developed. The basic idea behind most of the reported methods consists of applying an inter-view prediction via the estimated disparity map followed by a separable wavelet transform. In this paper, we propose to use a two-dimensional non separable decomposition based on the concept of vector lifting scheme. Furthermore, we focus on the optimization of all the lifting operators employed with the left and right images. Experimental results carried out on different stereo images show the benefits which can be drawn from the proposed coding method.

关键词： image coding Vectors Transforms Optimization Bit rate Joints signal processing

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Automatic Diagnosis of Type of Glaucoma Using Order-One 2D-FBSE-EWT

Automatic Diagnosis of Type of Glaucoma Using Order-One 2D-F...

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Digital signal processing and its applications (DSPA), International conference on

作者： Pradeep Kumar Chaudhary Sujay Jain Tina Damani Shirali Gokharu Ram Bilas Pachori Indian Institute of Technology Indore Indore India Choithram Netralaya Department of OphthalmologyIndoreIndia453001

This paper presents a framework for the automatic classification of Primary Angle-Closure Glaucoma (PACG), Pri-mary Open-Angle Glaucoma (POAG), and secondary Glaucoma from a normal subject. Order-one two-dimensional-Fourier-Bessel series expansion-empirical wavelet transform (2D-FBSE-EWT) based fusion ensemble ResNet-50 model is used in this work. Order-one 2D-FBSE-EWT decomposes the fundus images into sub-images. Subsequently, each sub-image is fed to the ResNet-50 model for extraction of deep features. Thereafter, deep features from each sub-images are ensembled. The ensembled features are then reduced using principal component analysis, and finally the reduced features are fed to a Softmax classifier for classification. Besides this approach, 4-channel, 3-channel (diagonal-wise grouping), and 2-channel (diagonal-wise grouping and neglecting diagonal detail component) sub-image groupings are also compared at 5-fold and 10-fold cross-validation. The 3-channel order-one 2D-FBSE-EWT based fusion ensemble ResNet-50 model provided an accuracy of 93% for the balanced database whereas it was limited to an accuracy of 78.3% for the unbalanced database at 10-fold cross-validation.

关键词： wavelet transforms Databases Machine learning Digital signal processing Feature extraction Principal component analysis

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applications of CS based spectrum recovery in hyperspectral images

Applications of CS based spectrum recovery in hyperspectral ...

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International conference on signal processing Proceedings (ICSP)

作者： Jianying Sun Qunbo Lv Jihao Yin Academy of Opto-Electronics Chinese Academy of Sciences Beijing China Image Processing Center Beihang University Beijing China

ISBN: (纸本)9781479921898

In this paper, we consider the question regarding high spectral redundancy in hyperspectral image (HSI) which causes problems of storage as well as transmission. Efficient spectrum sampling and recovery approaches are needed. This paper addresses the application of compressed sensing (CS) based spectrum recovery in spectra and HSIs. We firstly analyze the sparsity of spectra. Then we design the appropriate processes of spectrum recovery from efficiency and speed aspects. The proposed strategy was tested using the spectral data from USGS dataset and an AVIRIS HSI data. The experiments demonstrate that it results in a high reconstruction rate and low mean square errors compared with traditional interpolation method. Besides, the reconstructed HSIs have been applied into target detection to show the feasibility and applicability, illustrating the spectrum recovery's superiority.

关键词： Hyperspectral imaging image reconstruction Interpolation Vectors wavelet transforms signal processing algorithms

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Rapid prototyping of three-dimensional transform for medical image compression

Rapid prototyping of three-dimensional transform for medical...

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International Symposium on signal processing and Its applications (ISSPA)

作者： Noor Huda Ja'afar Afandi Ahmad Abbes Amira Department of Computer Engineering Universiti Tun Hussein Onn Malaysia (UTHM) Johor Malaysia Department of Electrical Engineering College of Engineering Qatar University Doha Qatar

ISBN: (纸本)9781467303811

This paper presents the design and implementation of three-dimensional (3-D) Haar and Daubechies with transpose based method for medical image compression. Due to the separability property of the multi-dimensional Haar and Daubechies, the proposed architecture has been implemented using a cascade of three N-point one-dimensional (1-D) Haar/Daubechies and two transpose memories for a 3-D volume of N×N×N suitable for real-time 3-D medical imaging applications. Two architectures were synthesised using VHDL and implemented on Altera ® Cyclone II (EP2C15AF484C6) field programmable gate array (FPGA). Experimental results and an analysis of the area, power consumption and maximum frequency are discussed in this paper.

关键词： Computer architecture Biomedical imaging wavelet transforms image coding Power demand Algorithm design and analysis

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Application of wavelet Packet and image processing to Fault Diagnosis for I.C. Engines

Application of Wavelet Packet and Image Processing to Fault ...

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The 22nd China Control and Decision conference(2010年中国控制与决策会议)

作者： Yong Xia Feng Geng Guiyou Hao Zhibing Ni Xinhan Hu Equipment Research Institute of Second Artillery Group Beijing 100085

There are few applications of image processing technology to diagnosing and state monitoring for internal combustion (I.C.) engines, which is discussed in detail in this paper. The time-frequency distribution images of cylinder head vibration signals are gotten by decomposing them with wavelet packet algorithm. It is the first time that we look at time-frequency distribution images from the point of images. Based on which, a new method that applying image processing technology to diagnosing and state monitoring for internal combustion engines is presented in this paper. A valve fault diagnosis model is set up by image matching, which is realized on a four-stroke, six cylinder diesel engine. At the same time, some notes are presented in this paper. It has been proved that it is of no good effect to diagnose with histograms of time-frequency images generated by cylinder head vibration signals that have been processed with wavelet packet algorithm. The results show that this method has a clear physical meaning and is of good engineering practicability, feasibility, good precision and fast speed.

关键词： image processing wavelet Analysis Time-Frequency Distribution image Vibration signal

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Real-time multi-level wavelet lifting scheme on a fixed-point DSP for JPEG 2000 and scalable video coding

Real-time multi-level wavelet lifting scheme on a fixed-poin...

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International conference on Digital signal processing (DSP)

作者： Marijn J.H. Loomans Cornelis J. Koeleman Peter H.N. de With Eindhovan University of Technology Eindhoven Netherlands VDG Security BV Zoetermeer Netherlands

In this paper, we discuss the design and real-time implementation of a multi-level two-dimensional discrete wavelet transform (2D-DWT). The wavelet transform uses the well-known 5/3 filter coefficients and is implemented using the lifting framework. However, the transform allows complexity-scalable solutions with different latencies for scalable video coding. We have extensively utilized SIMD (single instruction multiple data) and DMA (direct memory access) techniques, where the proposed process of background DMA transfers is so effective, that the ALUs are almost never starved for data input. The obtained execution performs a 4-level transform at CCIR-601 broadcast resolution in 3.65 Mcycles, including memory stalls, on a DM642 DSP. At a clock rate of 600 MHz this translates to more than 160 transforms per second, satisfying the performance requirements for a real-time image/video encoding system for e.g. surveillance applications.

关键词： Digital signal processing Video coding Discrete wavelet transforms Filters Discrete transforms Delay Multimedia communication Broadcasting Clocks Real time systems

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Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

Random cascades of Gaussian scale mixtures and their use in ...

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IEEE International conference on image processing

作者： M.J. Wainwright E.P. Simoncelli A.S. Willsky Laboratory for Information & Decision Systems Electrical Engineering & Computer Science Massachusetts Institute of Technology USA Center for Neural Science and Courant Institute of Mathematical Sciences New York University USA

ISBN: (纸本)0780362977

Multiresolution representations play an important role in image processing and computer vision, as well as in modeling stochastic processes. We have developed a semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees. This model class is rich enough to accurately capture the remarkably regular non-Gaussian features of natural images, but sufficiently structured to permit estimation of the underlying state variables. We showed that our models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. We developed a Newton-like method for exact MAP state estimation that exploits fast algorithms for tree estimation, and hence is very efficient. applications of this algorithm to denoising of both 1D signals and natural images were presented. The GSM-tree model class is related to a number of previous approaches to image coding and denoising.

关键词： State estimation Noise reduction image resolution signal resolution image processing Computer vision Stochastic processes Histograms wavelet coefficients image coding

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Infrared and Visible image Fusion via Variational Bayesian Approximation Method

Infrared and Visible Image Fusion via Variational Bayesian A...

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IEEE International conference on Information Communication and signal processing (ICICSP)

作者： Li Wang Puhan Zhao Ning Chu Ali Mohammad-Djafari Liang Yu Mathematics and Statistics School Central South University Changsha China Zhejiang Shangfeng Special Blower Company Ltd. Zhejiang university Shaoxing China Zhejiang Shangfeng Special Blower Company Ltd. CNRS Paris France State Key Laboratory of Mechanical System and Vibration Shanghai Jiaotong University Shanghai China

The integration of infrared and visible images has become increasingly relevant in the field of remote sensing technologies and image processing applications. This technique has proven beneficial in scenarios such as thermal source monitoring and anomaly detection for industrial machines. The fusion of these two images allows for the creation of a compound image that contains important information from both sources, resulting in an enhanced image with rich background details and clear targets. This paper presents a model for image fusion and probabilistic generation of infrared and visible images. The variational Bayesian approximation method is utilized to fuse the information from both images. The proposed method also introduces a hierarchical prior model using wavelet transform and a variational Bayesian inference algorithm to achieve information fusion. The proposed method provides a feasible and effective solution for health monitoring applications of high-speed direct-drive blowers in industrial scenarios.

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