A5108166775- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Video Coding and Compression Technologies
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Cooperative Communication and Network Coding
- Digital Filter Design and Implementation
- Wireless Communication Security Techniques
- Image and Video Quality Assessment
- Advanced Wireless Communication Technologies
- Advanced Image and Video Retrieval Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- Image Processing Techniques and Applications
- Full-Duplex Wireless Communications
- Advanced Wireless Communication Techniques
- Multimedia Communication and Technology
- Image Retrieval and Classification Techniques
- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
- Energy Harvesting in Wireless Networks
- Algorithms and Data Compression
Simon Fraser University
2015-2024
Tsinghua University
2024
University of Electronic Science and Technology of China
2007-2024
China Telecom
2022-2024
China Telecom (China)
2022-2024
Hunan Normal University
2023-2024
People's Liberation Army 401 Hospital
2022-2024
Shandong Normal University
2024
Hong Kong Polytechnic University
2022-2023
Jiangsu Academy of Agricultural Sciences
2023
Single image super-resolution (SISR) with generative adversarial networks (GAN) has recently attracted increasing attention due to its potentials generate rich details. However, the training of GAN is unstable, and it often introduces many perceptually unpleasant artifacts along generated In this paper, we demonstrate that possible train a GAN-based SISR model which can stably realistic details while inhibiting visual artifacts. Based on observation local statistics (e.g., residual variance)...
Virtual reality (VR) content, including 360° panoramic video, provides users with an immersive multimedia experience and therefore attracts increasing research development attention. However, the requirement of high bandwidth low latency virtual service demand puts forward greater challenges to current infrastructure, especially mobile networks. Inspired by sharable nature content tiles, we further considered potential opportunities for computing, caching, multicast address transmission...
Abstract It is vital to explore effective ways for prolonging electrode lifespans under harsh electrolysis conditions, such as high current densities, acid environment, and impure water source. Here we report alternating approaches that realize promptly regularly repair/maintenance concurrent bubble evolution. Electrode are improved by co-action of Fe group elemental ions alkali metal cations, especially a unique Co 2+ -Na + combo. A commercial Ni foam sustains ampere-level densities...
We present the design, implementation, and application of several families fast multiplierless approximations discrete cosine transform (DCT) with lifting scheme called binDCT. These binDCT are derived from Chen's (1977) Loeffler's (1989) plane rotation-based factorizations DCT matrix, respectively, design approach can also be applied to a arbitrary size. Two approaches presented. In first method, an optimization program is defined, obtained by approximating its solution dyadic values....
Deep learning has revolutionized many computer vision fields in the last few years, including learning-based image compression. In this paper, we propose a deep semantic segmentation-based layered compression (DSSLIC) framework which segmentation map of input is obtained and encoded as base layer bit-stream. A compact representation also generated first enhancement layer. The version are then employed to obtain coarse reconstruction image. residual between additionally another Experimental...
Hyperspectral (HS) pansharpening aims to create a pansharpened image that integrates the spatial details of panchromatic (PAN) and spectral content HS image. In this article, we present deep convolutional network within mature Gaussian–Laplacian pyramid for (LPPNet). The overall structure LPPNet is cascade Laplacian dense with similar at each level. Following general idea multiresolution analysis (MRA), subband residuals desired images are extracted from PAN injected into upsampled...
Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versatile Video Coding (VVC) in both PSNR MS-SSIM metrics. Two key components of learned are entropy model latent representations encoding/decoding network architectures. Various models been proposed, such as autoregressive, softmax, logistic mixture, Gaussian Laplacian. Existing schemes only use one these models....
This paper presents a general framework of constructing large family lapped transforms with symmetric basis functions by adding simple time-domain pre- and post-processing modules onto existing block discrete cosine transform (DCT)-based infrastructures. A subset the resulting solutions is closed-form, fast computable, modular, near optimal in energy compaction sense leads to an elegant boundary handling finite-length data. Starting from these solutions, for block-based signal decomposition...
The rapid growth of mobile communications and the widespread access to information via Internet have resulted in a strong demand for robust transmission compressed image video data various multimedia applications services. challenge is protect image/video against hostile channel conditions while bringing little impact on bandwidth efficiency. This paper addresses this critical problem provides an overview error-resilient approaches that been evaluated inserted into emerging JPEG-2000...
We address the time-varying problem of wavelet transforms, and a new translation-invariant representation algorithm is proposed. Using introduced by Beylkin (see SIAM J. Numer. Anal., vol. 29, p.1716-1740, 1992), we compute transform for all circular time shifts length-N signal in O(N log N) operations. The coefficients shift with minimal cost are selected as best using binary tree search an appropriate function. apply to geoacoustic data compression application. results show that can reduce...
Recently, Dynamic Adaptive Streaming over HTTP (DASH) has attracted significant attention. In this paper, we consider DASH-based transmission of scalable videos in wireless broadband access networks (e.g., long-term evolution and WiMAX), propose three methods to enhance the quality experience DASH users. First, design an improved mapping scheme from video coding layers that can provide desired bitrates, end-to-end throughput, reduce communication overhead. Second, develop a DASH-friendly...
In this paper, we consider a unified approach to model wireless channels by the mixture of Gaussian (MoG) distribution. The proposed provides an accurate approximation for envelope and signal-to-noise ratio (SNR) distributions fading channels. Simulation results have shown that can accurately characterize multipath composite We utilize well-known expectation-maximization (EM) algorithm estimate parameters MoG distribution further Bayesian information criterion (BIC) determine number...
Recently, deep learning-based image compression has made significant progresses, and achieved better rate-distortion (R-D) performance than the latest traditional method, H.266/VVC, in both MS-SSIM metric more challenging PSNR metric. However, a major problem is that complexities of many leading learned schemes are too high. In this paper, we propose an efficient effective coding framework, which achieves similar R-D with lower complexity state art. First, develop improved multi-scale...
In this letter, we investigate cooperative diversity with relay selection over cascaded Rayleigh fading channels. particular, analyze the performance of a scheme for vehicular networks decode-and-forward (DF) protocol. Only "best" relay, which satisfies an index merit, is selected. We ignore direct transmission between source ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> ) and its destination...
In this paper, we investigate the performance of selection cooperation in presence imperfect channel estimation. particular, consider a cooperative scenario with multiple relays and amplify-and-forward protocol over frequency flat fading channels. scheme, only "best" relay which maximizes effective signal-to-noise ratio (SNR) at receiver end is selected. We present lower upper bounds on SNR further provide closed-form expressions for average symbol error rate (ASER), outage probability...
Intelligent reflecting surface (IRS) has emerged as a potential technology to achieve smart wireless communications and high energy efficiency. On the other hand, nonorthogonal multiple access (NOMA)-enabled backscatter have shown great in large-scale Internet of Things (IoT) networks. In this article, we consider downlink IRS-assisted communication with NOMA. We further two-user scenario channel disparity from base station. first derive probability density function sum modulus reflected...
How to generate the ground-truth (GT) image is a critical issue for training realistic super-resolution (Real-ISR) models. Existing methods mostly take set of high-resolution (HR) images as GTs and apply various degradations simulate their low-resolution (LR) counterparts. Though great progress has been achieved, such an LR-HR pair generation scheme several limitations. First, perceptual quality HR may not be high enough, limiting Real-ISR outputs. Second, existing schemes do consider much...
In this paper, we analyze the effect of feedback delay and channel estimation errors on performance a decode-and-forward (DF) cooperative transmission scenario with relay selection. our selection scheme, only one best relay-to-destination (R → D) quality is selected among set relays that decode source information correctly. Specifically, destination terminal first estimates state (CSI) all active R D links then sends index to terminals via delayed link. Due time varying nature fading...
In this paper, we investigate the performance of cooperative spectrum sensing (CSS) with multiple-antenna nodes over generalized and composite fading channels. To end, approximate probability density function (pdf) signal-to-noise ratio (SNR) various channels using mixture Gamma (MG) distribution. Based on this, derive an exact closed-form expression a generic infinite series representation for corresponding energy detection, along finite upper bound involved truncation error. Both...
In this letter, we investigate the effect of feedback delay and channel estimation errors in a decode-and-forward (DF) cooperative network with relay selection. particular, consider multirelay scenario, where best is selected from subset relays that are able to decode source information correctly. selection destination terminal estimates relay-to-destination (R → D) state (CSI) sends index terminals via delayed link. We performance considered scenario terms average symbol error rate (ASER)...
In interactive multiview video streaming (IMVS), a client receives and observes one of many available viewpoints the same scene periodically requests from server view switches to neighboring views, as is played back in time uninterruptedly. One key technical challenge design frame coding structure that facilitates periodic switching achieves an optimal tradeoff between storage cost expected transmission rate. this paper, we first propose three significant improvements over existing IMVS...