A5086801148- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Remote Sensing and LiDAR Applications
- Digital Filter Design and Implementation
- Advanced Adaptive Filtering Techniques
- Blind Source Separation Techniques
- Remote Sensing in Agriculture
- Algorithms and Data Compression
- Image Processing Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Image Retrieval and Classification Techniques
- Control Systems and Identification
- Remote Sensing and Land Use
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
- Fire effects on ecosystems
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Chaos-based Image/Signal Encryption
- Neural Networks and Applications
- Mathematical Analysis and Transform Methods
- Advanced Neural Network Applications
Beijing Information Science & Technology University
2025
Beijing Satellite Navigation Center
2025
La Trobe University
2015-2024
Xiamen University
2023
Institute of Forest Resource Information Techniques
2007-2022
Chinese Academy of Forestry
2007-2022
State Forestry and Grassland Administration
2022
Chongqing University of Posts and Telecommunications
2018-2021
University of Nottingham Ningbo China
2021
Changsha University of Science and Technology
2018-2019
Enhancement of contrast and sharpness an image is required in many applications. Unsharp masking a classical tool for enhancement. We propose generalized unsharp algorithm using the exploratory data model as unified framework. The proposed designed to address three issues: (1) simultaneously enhancing by means individual treatment component residual, (2) reducing halo effect edge-preserving filter, (3) solving out-of-range problem log-ratio tangent operations. also present study properties...
Gaussian filtering has been intensively studied in image processing and computer vision. Using a filter for noise suppression, the is smoothed out, at same time signal also distorted. The use of as pre-processing edge detection will give rise to position displacement, edges vanishing, phantom edges. Here, authors first review various techniques these problems. They then propose an adaptive algorithm which variance adapted both characteristics local signal.< <ETX...
Describes a new implementation of Lee's (1980) image enhancement algorithm. This approach, based on the logarithmic processing (LIP) model, can simultaneously enhance overall contrast and sharpness an image. A normalized complement transform has been proposed to simplify analysis LIP model-based algorithms. compared with histogram equalization original
Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through unsharp masking algorithm. In this paper, we develop a new type of filter which performs smoothing or via tuning parameter. development based on (1) Laplacian-based formulation unifies operations, (2) patch interpolation model similar that used in guided provides edge-awareness capability, (3) generalized Gamma distribution as prior for parameter estimation. We have...
In addressing the issues faced by traditional signal sorting methods and clustering algorithms in complex electromagnetic environments, such as need for prior knowledge, initial center selection, batch increment, a multifunctional radar method based on Data Field Finch-Means is proposed. Initially, integration of envelope "pulse leading edge" pulse fingerprint features into Pulse Descriptor Word (PDW) proposed, forming new feature parameter (EPDW) used elimination interference pulses....
Many fatal accidents have happened due to drivers failing stop at signs. A sign recognition system could be used reduce the risk of by warning driver when a vehicle approaches an unexpected speed. In this paper, we describe implementation real-time vision-based on Xilinx Virtex-4 Field Programmable Gate Array (FPGA) device. This uses variant Histogram Oriented Gradient (HoG) feature set and efficient integral map for processing. Simulation in-vehicle test results show good potential...
In this paper, we propose a fast watermarking system that works on the H.264/AVC motion vectors. By restricting access to DCT coefficients and pixel information, computational complexity of watermark embedder/extractor is kept low much lower than H.264 decoder. The error propagation due prediction compensation monitored its effect limited by tracking method based solely information from bitstream. Although work focuses standard, novel technique also applicable MPEG1-2 MPEG4 video standards
Fractional calculus has increased in popularity recent years, as the number of its applications different fields increased. Compared to traditional operations (integration and differentiation) which are uniquely defined, fractional-order operators have numerous definitions. Furthermore, a consensus on most suitable definition for given task is yet be reached. defined continuous their implementation requires discretization step. In this article, we propose discrete fractional Laplacian matrix...
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Traditional contrast enhancement techniques were developed to enhance the dynamic range of images with narrow histograms. However, it is not unusual that an image a broad histogram still suffers from low in both shadow and highlight areas. In this paper, we first develop unified framework called generalized gamma correction for these two types images. The generalization based on interpretation algorithm as special case scalar multiplication linear system (GLS). By using other GLS, obtain...
A multiscale image decomposition and enhancement algorithm is presented. This developed using a mathematical structure called the logarithmic processing model. novel approach to improving contrast, yet at same time achieving noise suppression.
We present a new prediction method for lossless image coding. In this scheme, the each pixel is formed by adaptively combining predicted values from set of least squares based linear predictors. The combination scheme follows main idea Bayesian model averaging to reduce error due uncertainty. A coding algorithm on also presented. Experimental results show that compression performance better than TMW 0.51. It close newly improved version TMW.