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Audio/video compression applications using wavelets

Audio/video compression applications using wavelets

引用

International Joint conference on Neural Networks (IJCNN)

作者： Yu-Shen Cheng Gen-Dow Huang TECHSOFT TECHNOLOGY Company Limited Taoyuan Taiwan

It is well known that the advantages of wavelet transform are to provide characteristic of multiple resolution and global decomposition that are the significant features for the audio/video compression applications. In this paper, an effective wavelet-based audio/video compression algorithm is presented to provide highly efficient signal compression mechanism with acceptable human visual/hearing perception. Experimental simulations show that the proposed audio/video model can meet the current industrial communication requirements in terms of the processing time and the compression performance. Development of wavelet-based audio/video compression model also includes the consideration of hardware implementation. With this high-performance audio and video codec, it can be employed to develop compact, low power, high-speed, portable, cost-effective, and low-weight video/audio compression multimedia application.

关键词： Video compression image coding wavelet transforms Bandwidth Humans Audio compression Very large scale integration image reconstruction Quantization signal resolution

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Multi-resolution filter banks for enhanced SAR imaging

Multi-resolution filter banks for enhanced SAR imaging

引用

International conference on Systems and Informatics (ICSAI)

作者： Ehsan O. Sheybani Giti Javidi Virginia State University Petersburg VA USA

SAR finds applications in many of NASA's earth science fields such as deformation, ecosystem structure, and dynamics of ice, snow and cold land processes, and surface water and ocean topography. Traditionally, standard methods such as Fast-Fourier Transform (FFT) and Inverse Fast-Fourier Transform (IFFT) have been used to extract images from SAR radar data. Due to non-parametric features of these methods and their resolution limitations and observation time dependence, use of spectral estimation and signal pre- and post-processing techniques based on wavelets to process SAR radar data has been proposed. Multi-resolution wavelet transforms and advanced spectral estimation techniques have proven to offer efficient solutions to this problem. This paper discusses innovative wavelet-based filter banks designed to enhance the analysis of super resolution Synthetic Aperture Radar (SAR) images using parametric spectral methods and signal classification algorithms.

关键词： wavelet transforms Algorithm design and analysis image coding image resolution signal processing algorithms Noise reduction

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Edge-Based image Watermarking Method with Weighted Discrete Cosine Transform Coefficients

Edge-Based Image Watermarking Method with Weighted Discrete ...

引用

IEEE signal processing and Communications applications (SIU)

作者： Rukiye Karakiş Kali Gü rkahraman Yaz&#x0131 l&#x0131 m M&#x00FC hendisli&#x011F i B&#x00F6 l&#x00FC m&#x00FC Sivas Cumhuriyet &#x00DC niversitesi Sivas T&#x00FC rkiye Bilgisayar M&#x00FC

ISBN: (数字)9781665450928

ISBN: (纸本)9781665450935

In image watermarking, hybrid approaches increase imperceptibility and robustness. Also, a scaling factor is used, which should be optimized when combining the cover image and watermark. In this study, discrete wavelet transform and discrete cosine transform (DCT) were used together. The watermark-edge image was obtained by randomly inserting the watermark on the horizontal, vertical and diagonal edge points of the cover image detected with Sobel. The DCT frequency components of the watermark-edge image were weighted with a generated matrix and combined with the DCT of the cover image. According to the obtained results, the proposed method is imperceptible and robust to various attacks, especially JPEG compression and noise attacks.

关键词： image coding image edge detection Transform coding Watermarking Transforms signal processing Robustness

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A novel iris recognition technique using monogenic wavelet phase encoding

A novel iris recognition technique using monogenic wavelet p...

引用

International conference on signal and Information processing (IConSIP)

作者： Parmeshwar Birajadar Pushkaraj Shirvalkar Shubham Gupta Varun Patidar Utkarsh Sharma Ameya Naik Vikram Gadre Indian Institute of Technology Guwahati Guwahati Assam IN Department of Electrical Engineering IIT Bombay Mumbai India Department of Electronic and Telecommunication Engineering KJSCOE Mumbai India

ISBN: (纸本)9781509015238

Encoding the local phase of the iris texture has come out as a promising way of generating extremely efficient feature vectors. Gabor wavelets yield a local phase representation distributed over several scales and orientations. One of the very promising attempts at obtaining a useful phase information is from the field of analytic signals and wavelets. The monogenic signal is an extension of the analytic signal to multiple dimensions. In this paper, we propose a novel technique that utilizes multi-resolution monogenic phase for iris recognition. The motivation behind the proposal has been discussed and supported by experiments. Here we suggest that the distinctive ability of the monogenic wavelets to simultaneously extract local phase and orientation can be exploited for iris recognition applications. In order to test the effectiveness of the proposed method, the reconstructions obtained using multi-resolution monogenic phase are compared with the Gabor and Fourier counterparts. Improvement observed in the structural similarity index (SSIM) value reveals the suitability of the monogenic wavelet phase for the applications involving texture identification. Although monogenic wavelets can be used for general texture identification, here, we specifically consider the iris recognition application. Experimental results obtained on the CASIA version 1 and the version 4 interval databases show that the monogenic wavelets can achieve an accuracy comparable to that of the Gabor wavelets.

关键词： Iris recognition wavelet transforms image reconstruction Encoding image segmentation Iris

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wavelet Decomposition processing Method: Cortical Bone Thickness Measurement Using Ultrasound Sensor

Wavelet Decomposition Processing Method: Cortical Bone Thick...

引用

IEEE International conference on Systems, Man, and Cybernetics

作者： Muhamad Khairul Ali Hassan Kouki Nagamune Kenichiro Kakutani Koichiro Maeno Kotaro Nishida Masahiro Kurosaka School of Mechatronic Engineering Universiti Malaysia Perlis Graduate School of Engineering University of Fukui Kobe University Graduate School of Medicine

ISBN: (纸本)9781479938414

wavelet analysis has been successfully applied in many applications such as image processing, communication and signal processing. Moreover, the wavelet theory covers more significant application. It is because the wavelet theory can be applied to the continuous and the discrete-time cases. In particular, the wavelet transform focuses on the analysis of non-stationary signals. When compared with classical Short-Time Fourier Transform and Fourier Transform analysis, both processing methods are unable to process the non-stationary signal. While wavelet analysis provides an alternative solution for this problem. Ultrasound signal is categorized as a non-stationary signal. Many techniques have been used for processing the ultrasound signal. The use of ultrasound in medical and civil area keeps increasing due to low cost, and accurate techniques. Therefore, this study focuses on the analysis of the multiple echoes of ultrasound in the cortical bone using wavelet decomposition processing method. Then, the appeared echo at both surfaces of bone was determined using a peak detection algorithm. Bone thickness was calculated based on measured flight time in the bone. The experimental results were compared with manual measurement using vernier caliper for validation process. The results show that the wavelet decomposition processing method provided small errors of cortical bone thickness measurement, which was 0.152 mm (4.104%), while standard deviation was 0.102 mm. This measurement values showed that the accuracy of bone thickness was almost 96.000% for this method. Furthermore, the experimental results were correlated with caliper values so that correlation coefficient was 0.9797.

关键词： wavelet decomposition Ultrasound Pulse echo method Cortical bone and bone thickness

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Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets

Improving mesh-based motion compensation by using edge adapt...

引用

IEEE International conference on Acoustics, Speech and signal processing

作者： Daniela Lanz Andre Kaup Multimedia Communications and Signal Processing Friedrich-Alexander-Universitat Erlangen-Nurnberg (FAU) Cauerstr. 7 91058 Germany

ISBN: (纸本)9781509041183

Medical applications like Computed Tomography (CT) or Magnetic Resonance Tomography (MRT) often require an efficient scalable representation of their huge output volumes in the further processing chain of medical routine. A downscaled version of such a signal can be obtained by using image and video coders based on wavelet transforms. The visual quality of the resulting lowpass band, which shall be used as a representative, can be improved by applying motion compensation methods during the transform. This paper presents a new approach of using the distorted edge lengths of a mesh-based compensated grid instead of the approximated intensity values of the underlying frame to perform a motion compensation. We will show that an edge adaptive graph-based compensation and its usage for compensated wavelet lifting improves the visual quality of the lowpass band by approximately 2.5 dB compared to the traditional mesh-based compensation, while the additional filesize required for coding the motion information doesn't change.

关键词： Discrete wavelet Transforms Motion Compensation Scalability signal processing on Graphs Computed Tomography Motion compensation discrete wavelet transform Scalability X-Ray Computed Tomography compensated wavelets video coder lift lifts Edge of a figure or solid

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Heterogeneous Approach of Quality Preserving image Compression Technique Using wavelet and Contourlet Based Interpolation

Heterogeneous Approach of Quality Preserving Image Compressi...

引用

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

作者： Benjamin Joseph A Baskaran R Karthigadevi S Computer Science Department Anna University

In this paper heterogeneous approach of feature preserving lousy image compression using wavelet and Contourlet based interpolation techniques are incorporated to elevate the compression ratio and PSNR at the *** this approach edges are transmitted to the receiver as header information to preserve the high frequency details of the *** edge image is obtained from the original image using basic wavelet *** the original image is domain transformed using wavelet transform which has multi-resolution capability at'n'number of orientations and then wavelet coefficients are encoded using zero tree *** compressed image is reconstructed at the receiver using Contourlet based interpolation technique to extract the loss of pixel values while *** valuable parameter such as Compression Factor and Peak signal to Noise Ratio are *** performance table is provided in comparison of the proposed method with the existing method of edge preserving image compression indicating the superior performance of the proposed technique in comparison with existing technique.

关键词： Compression Factor,Edges,Adaptive wavelet Transform,Edge detectors,Contourlet Transform.

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Low bit rate image compression by two layer wavelet and contourlet transforms

Low bit rate image compression by two layer wavelet and cont...

引用

Iranian conference on Electrical Engineering (ICEE)

作者： Hossein Talebi Esfandarani Nader Karimi Shadrokh Samavi Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran

ISBN: (纸本)9781424467600

Low bit rate applications, such as cell phone and wireless transmission of images, require compression schemes that could keep acceptable levels of visual quality of the medium. In this paper a multi layer compression scheme is presented which is intended to preserve the texture details of an image at low bit rates. The first layer uses wavelet transform for extraction of textures. Then in the second layer the strength of the contourlet transform in preservation of textures is employed to compress the highlighted textures of the image. The proposed method is compared with a number of low bit rate methods and proved to be superior to these methods.

关键词： Bit rate image coding wavelet transforms Partitioning algorithms signal processing algorithms image reconstruction image representation Information filtering Information filters Laplace equations

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A new digital implementation of ridgelet transform for images of dyadic length

A new digital implementation of ridgelet transform for image...

引用

International conference on Information Technology and applications, ICITA

作者： Xia Jun Jun Ni Lin Y. Miao Department of Electronic Engineering and Information Science University of Science and Technology China Department of Computer Science and Engineering Victoria University Australia

Ridgelet transform is a new directional multi-resolution transform and it is more suitable for describing the signals with line or super-plane singularities. Finite ridgelet transform is a discrete orthonormal version of ridgelet transform proposed by Do and Vetterli (2003). However, finite ridgelet transform is only suitable for images of prime-pixels length, which is a limitation of its application in image processing. In this paper, we improve the finite ridgelet algorithm and a new digital implementation of ridgelet transform which is suitable for images of dyadic length is proposed. This method not only keeps the main properties of finite ridgelet but also simplifies the algorithm. We first briefly introduce the concept of ridgelet transform. Then, we illustrate finite ridgelet transform and the new method. Finally, we compare the new method with traditional finite ridgelet transform.

关键词： Discrete transforms Discrete wavelet transforms wavelet transforms Information science image resolution signal resolution Pixel image processing Frequency image denoising

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Child face detection using age specific luminance invariant geometric descriptor

Child face detection using age specific luminance invariant ...

引用

IEEE International conference on signal and image processing applications (ICSIPA)

作者： Mofakharul Islam Paul Watters John Yearwood Internet Commerce Security Laboratory University of Ballarat Ballarat VIC Australia School of Science Information Technology and Engineering University of Ballarat Ballarat VIC Australia

While considerable research have been conducted on age-wise age estimation using skin detection most often with other visual cues, relatively little research has looked closely at the subject. In this paper, we present a new framework for interpreting facial image patterns that can be employed in categorical age estimation. The aim is to propose a novel approach to investigate and implement a child face detection technique that is able to estimate age categorically - adult or child based on a new hybrid feature descriptor. The novel hybrid feature descriptor LIGD (the luminance invariant geometric descriptor) is composed of some low and high level features, which are found to be effective in characterizing the local appearance. In local appearance estimation, chromaticity, texture, and positional information of few facial visual cues can be employed simultaneously. Compared to the results published in a recent work, our proposed approach yields the highest precision and recall, and overall accuracy in recognition.

关键词： Skin image color analysis Face Estimation Feature extraction Humans Discrete wavelet transforms

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