A5101467562- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Sparse and Compressive Sensing Techniques
- Algorithms and Data Compression
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
- Digital Filter Design and Implementation
- Video Coding and Compression Technologies
- Enhanced Oil Recovery Techniques
- Error Correcting Code Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Optical Imaging Technologies
- Digital Media Forensic Detection
- Thin-Film Transistor Technologies
- Advanced Steganography and Watermarking Techniques
- Wireless Communication Security Techniques
- Medical Image Segmentation Techniques
- Cooperative Communication and Network Coding
- Color Science and Applications
- Hydrocarbon exploration and reservoir analysis
- Chaos-based Image/Signal Encryption
- Digital Image Processing Techniques
McMaster University
2014-2024
Liaoning University
2024
Chengdu Third People's Hospital
2024
Southwest Jiaotong University
2024
Lanzhou University
2003-2024
Daqing Oilfield General Hospital
2005-2024
Nankai University
2009-2024
Shanghai Jiao Tong University
2014-2024
Hong Kong Polytechnic University
2024
Shanghai Ninth People's Hospital
2017-2024
We propose a context-based, adaptive, lossless image codec (CALIC). The obtains higher compression of continuous-tone images than other coding techniques in the literature. This high efficiency is accomplished with relatively low time and space complexities. CALIC puts heavy emphasis on data modeling. A unique feature use large number modeling contexts (states) to condition nonlinear predictor adapt varying source statistics. can correct itself via an error feedback mechanism by learning...
The challenge of image interpolation is to preserve spatial details. We propose a soft-decision technique that estimates missing pixels in groups rather than one at time. new learns and adapts varying scene structures using 2-D piecewise autoregressive model. model parameters are estimated moving window the input low-resolution image. pixel structure dictated by learnt enforced estimation process onto block pixels, including both observed estimated. result equivalent high-order adaptive...
The technique of scale multiplication is analyzed in the framework Canny edge detection. A function defined as product responses detection filter at two scales. Edge maps are constructed local maxima by thresholding results. and localization criteria derived. At a small loss criterion, criterion can be much improved multiplication. for greater than that single scale, which leads to better performance. Experimental results presented.
This paper introduces a new, principled approach to detecting least significant bit (LSB) steganography in digital signals such as images and audio. It is shown that the length of hidden messages embedded bits signal samples can be estimated with relatively high precision. The new steganalytic based on some statistical measures sample pairs are highly sensitive LSB embedding operations. resulting detection algorithm simple fast. To evaluate robustness proposed approach, bounds estimation...
In this paper, we propose a new psychovisual quality metric of images based on recent developments in brain theory and neuroscience, particularly the free-energy principle. The perception understanding an image is modeled as active inference process, which tries to explain scene using internal generative model. thus closely related how accurately visual sensory data can be explained by model, upper bound discrepancy between signal its best description given free energy cognition process....
Single-sensor digital color cameras use a process called demosiacking to produce full images from the data captured by filter array (CAF). The quality of demosiacked is degraded due sensor noise introduced during image acquisition process. conventional solution combating CFA first, followed separate denoising processing. This strategy will generate many noise-caused artifacts in process, which are hard remove Few schemes that work directly on have been presented because difficulties arisen...
By tracking and analyzing the research practices of chemical flooding carried out in Daqing Oilfield, NE China since 1970s, theory, technology adaptability existing problems were systematically summarized, directions ideas development future proposed. In enhanced oil recovery by flooding, Oilfield developed theories related to compatibility between crude surfactant that may form ultra-low interfacial tensions with low-acidity oil, a series products independently. The key technologies for...
Osteochondral repair remains a major challenge in current clinical practice despite significant advances tissue engineering. In particular, the lateral integration of neocartilage into surrounding native cartilage is difficult and inadequately addressed problem that determines success repair. Here, novel design an integral bilayer scaffold combined with photocurable silk sealant for osteochondral reported. First, we fabricated layer resembling surface morphology mechanical strength...
Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing, precision engineering scientific research. But despite rapidly growing research interests learning-based compression, no published method offers both lossless modes. In this paper, we propose a unified powerful deep lossy plus residual (DLPR) coding framework for compression. the mode, DLPR system first performs then residuals. We solve...
We study lossy-to-lossless compression of medical volumetric data using three-dimensional (3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important to have transforms that are unitary. In addition the lifting approach, we first introduce a general 3-D packet transform structure allows implicit bit shifting coefficients approximate unitary transformation. then focus on context modeling for efficient arithmetic coefficients. Two state-of-the-art video...
Recently, many researchers started to challenge a long-standing practice of digital photography: oversampling followed by compression and pursuing more intelligent sparse sampling techniques. In this paper, we propose practical approach uniform down in image space yet making the adaptive spatially varying, directional low-pass prefiltering. The resulting down-sampled prefiltered remains conventional square sample grid, and, thus, it can be compressed transmitted without any change current...
We show that the lower bound on sum rate of direct and indirect Gaussian multiterminal source coding problems can be derived in a unified manner by exploiting semidefinite partial order distortion covariance matrices associated with minimum mean squared error (MMSE) estimation so-called reduced optimal linear estimation, through which an intimate connection between Berger-Tung upper is revealed. give new proof problem (i.e., CEO problem). For problem, we derive general establish set...
Bromodomain-containing protein 9 (BRD9), a component of non-canonical BAF chromatin remodeling complex, has been identified as critical therapeutic target in hematological diseases. Despite the hematopoietic origin osteoclasts, role BRD9 osteoclastogenesis and bone diseases remains unresolved. Here, we show Brd9 deficiency myeloid lineage enhances osteoclast commitment resorption through downregulating interferon-beta (IFN-β) signaling with released constraint on osteoclastogenesis. Notably,...
Recently, numerous end-to-end optimized image compression neural networks have been developed and proved themselves as leaders in rate-distortion performance. The main strength of these learnt methods is powerful nonlinear analysis synthesis transforms that can be facilitated by deep networks. However, out operational expediency, most adopt uniform scalar quantizers rather than vector quantizers, which are information-theoretically optimal. In this paper, we present a novel Lattice Vector...
A general model for constructing minimal length checking sequences employing a distinguishing sequence is proposed. The based on characteristics of and set state recognition sequences. Some existing methods are shown to be special cases the proposed proven construct minimality resulting discussed heuristic algorithm construction given.
Journal Article Recent Developments in Context-Based Predictive Techniques for Lossless Image Compression Get access N. Memon, Memon Search other works by this author on: Oxford Academic Google Scholar X. Wu The Computer Journal, Volume 40, Issue 2_and_3, 1997, Pages 127–136, https://doi.org/10.1093/comjnl/40.2_and_3.127 Published: 01 January 1997
The performance of the classic split-and-merge segmentation algorithm is severely hampered by its rigid processes, which are insensitive to image semantics. author proposes efficient algorithms and data structures optimize processes piecewise least-square approximation intensity functions. This optimization aims at unification segment finding edge detection. optimized shown be adaptive semantics and, hence, improves validity previous algorithms. also appears work well on noisy sources. Since...
Abstract Due to the growing need for large quantities of human animation data in entertainment industry, it has become a necessity compress motion capture sequences order ease their storage and transmission. We present novel, lossy compression method that exploits both temporal spatial coherence. Given one motion, we first approximate poses manifold using Principal Geodesics Analysis (PGA) configuration space skeleton. then search this matching end‐effectors constraints an iterative...
We report on a new paradigm of information display that greatly extends the utility and versatility current optoelectronic displays. The main innovation is to let high refresh rate optically broadcast so-called atom frames, which are designed through non-negative matrix factorization form bases for class images, different viewers perceive selfintended images by using display-synchronized viewing devices their own human visual systems fuse appropriately weighted frames. This work essentially...
Much of the progress in wavelet image compression came from better context modeling and entropy coding quantized coefficients. In past few months many papers on subject were published. They reported rate-distortion performance results that are best or near literature. Given seemingly ever smaller improvements R-D with increasing sophistication complexity current optimized quantizers models coefficients, two tantalizing questions whether there still exists some room for even higher efficiency...