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Morphological road segmentation in urban areas from high resolution satellite images

Morphological road segmentation in urban areas from high res...

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International conference on Digital signal processing (DSP)

作者： R. Gaetano J. Zerubia G. Scarpa G. Poggi Ariana Project INRIA Sophia-Antipolis France University Federico II Naples Italy

High resolution satellite images provided by the last generation sensors significantly increased the potential of almost all the image information mining (iiM) applications related to earth observation. This is especially true for the extraction of road information, task of primary interest for many remote sensing applications, which scope is more and more extended to complex urban scenarios thanks to the availability of highly detailed images. This context is particularly challenging due to such factors as the variability of road visual appearence and the occlusions from entities like trees, cars and shadows. On the other hand, the peculiar geometry and morphology of man-made structures, particularly relevant in urban areas, is enhanced in high resolution images, making this kind of information especially useful for road detection. In this work, we provide a new insight on the use of morphological image analysis for road extraction in complex urban scenarios, and propose a technique for road segmentation that only relies on this domain. The keypoint of the technique is the use of skeletons as powerful descriptors for road objects: the proposed method is based on an ad-hoc skeletonization procedure that enhances the linear structure of road segments, and extracts road objects by first detecting their skeletons and then associating each of them with a region of the image. Experimental results are presented on two different high resolution satellite images of urban areas.

关键词： Roads Skeleton image segmentation image edge detection Transforms image resolution Urban areas

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Converting images to pseudo random dots: performance evaluation

Converting images to pseudo random dots: performance evaluat...

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IEEE Pacific Rim conference on Communications, Computers and signal processing

作者： P. Pochec S. Hadi Faculty of Computer Science University of New Brunswick Fredericton NB Canada Department of Mathematics University of Padjadjaran Bandung Indonesia

applications of Moire patterns have been reported in stereo matching (disparity measurement) and in developing a binary similarity measure. Matching based on Moire patterns requires that the images be converted to pseudo random dot representation. Two classes of algorithms for converting images to random dots are presented: (i) high pass filtering, and (ii) bit slicing. Parameters which influence dot density and uniformity of distribution are investigated.

关键词： image converters US Department of Transportation Pattern matching Filters Filtering Pixel image edge detection Computer science Mathematics Application software

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Supervised map ICA: applications to brain functional MRI

Supervised map ICA: applications to brain functional MRI

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International conference on Neural Information processing

作者： Y. Matsuyama R. Kawamura Department of Electrical Electronics and Computer Engineering Waseda University Tokyo Japan

This paper gives a method to control or organize itself an activation pattern of fMRI maps obtained by ICA (independent component analysis). The presented method uses an additional term to the convex divergence's gradient. The following merits are observed: (i) Prior knowledge can be effectively used so that obtained activation patterns properly reflect the task on the subject. (ii) Difficulty of finding the appropriate activation pattern due to the permutation can be avoided. Experiments on brain fMRI maps for visual cortices are tried and reported.

关键词： Independent component analysis Magnetic resonance imaging Application software Cost function Continuous wavelet transforms signal analysis Source separation Iterative algorithms Convergence Optimization methods

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Scale Space and Variational Methods in Computer Vision 1

Scale Space and Variational Methods in Computer Vision

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丛书名： Lecture Notes in Computer Science

1000年

作者： Tatiana A. Bubba Romina Gaburro Silvia Gazzola Kostas Papafitsoros Marcelo Pereyra Carola-Bibiane Schönlieb

ISBN: (数字)9783031923661

ISBN: (纸本)9783031923654

The two-volume set LNCS 15667 and 15668 constitutes the proceedings of the 10th International conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, which took place in Dartington, UK, in May 2025. The total of 63 full papers accepted in the proceedings were carefully reviewed and selected from 81 submissions. They were organized in topical sections as follows: Part I: Inverse Problems in Imaging; machine and deep learning in imaging; Part ii: Optimization for imaging: theory and methods; scale space, PDES, flow, motion and registration.

关键词： Computer Imaging, Vision, Pattern Recognition and Graphics signal, image and Speech processing Computer Communication Networks Computer applications Machine Learning Mathematics of Computing

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Shearlet transform based image denoising using histogram thresholding

Shearlet transform based image denoising using histogram thr...

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International conference on Communication Systems and Networks (ComNet)

作者： T S Anju N R Nelwin Raj Department of ECE Sree Chitra Thirunal College of Engineering Trivandrum Kerala

ISBN: (纸本)9781509033508

This paper presents an efficient image denoising method by incorporating shearlet-based histogram thresholding. Nowadays, digital images are used in wide range of applications but most of these images are degraded during transmission and acquisition process. Removal of noise from images is still a challenging task for many researchers because there is always a trade-off between noise removal and fine edge preservation. This paper is based on image denoising using shearlet transform. Shearlets have excellent features for data analysis and processing, which overcomes the limitation of traditional methods. They are optimally sparse and have multi-scale and multi-directional properties which are optimal in representing image containing edges. In this paper, the proposed method is found to produce superior peak signal-to-noise ratio (PSNR) over the conventional denoising algorithms.

关键词： Histograms image denoising Noise reduction Algorithm design and analysis image edge detection wavelet transforms

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Design and implementation of a novel architecture for symmetric FIR filters with boundary handling on Xilinx Virtex FPGAs

Design and implementation of a novel architecture for symmet...

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IEEE International conference on Field-Programmable Technology (FPT)

作者： A. Benkrid K. Benkrid D. Crookes School of Computer Science Queen''s University Belfast Belfast UK

Symmetric FIR filters, which provide linear phases, are frequently used in digital signal processing. This paper presents the design and implementation of a novel architecture for symmetric FIR filters on Xilinx Virtex FPGAs. The architecture is particularly useful for handling the problem of processing signal boundaries, which occurs in finite length signal processing (e.g. image processing). Based on bit parallel arithmetic, our architecture is fully scalable and parameterised. It takes into account the details of the symmetry and exploits the features of Xilinx Virtex FPGAs. The implementation leads to considerable area savings compared to conventional implementations (based on a hard router), at the expense of using a clock doubler, which reduces the overall processing speed. The latter is however still high enough to achieve real time performance. Moreover, our architecture can match the speed of a conventional implementation if the filter output is going to be decimated, as it is the case in multirate applications (e.g. wavelets).

关键词： Finite impulse response filter Field programmable gate arrays Nonlinear filters signal processing Clocks Convolution Computer architecture Discrete wavelet transforms Reflection Hardware

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Mixed DSP/FPGA implementation of an error-resilient image transmission system based on JPEG2000

Mixed DSP/FPGA implementation of an error-resilient image tr...

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Asilomar conference on signals, Systems & Computers

作者： M. Grangetto E. Magli M. Martina F. Vacca Dipartimento di Elettronica Politechnico di Torino Center for Wireless Multimedia Communications Torino Italy

ISBN: (纸本)078037147X

This paper describes a demonstrator of an error-resilient image communication system over wireless packet networks, based on the novel JPEG2000 standard. In particular, the decoder implementation is addressed, which is the most critical task in terms of complexity and power consumption, in view of use on a wireless portable terminal for cellular applications. The system implementation is based on a mixed DSP/FPGA architecture, which allows us to parallelize some computational tasks, thus leading to efficient system operation.

关键词： Digital signal processing Field programmable gate arrays image communication Transform coding Tiles Decoding image coding Discrete wavelet transforms Multimedia systems Wireless communication

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Memory analysis and throughput enhancement for cost effective bit-plane coder in JPEG2000 applications

Memory analysis and throughput enhancement for cost effectiv...

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

作者： Lien-Fei Chen Tai-Lun Huang Yeong-Kang Lai Department of Electrical Engineering National Chung Hsing University Taiwan

ISBN: (纸本)0780388747

A cost effective bit-plane coder with throughput enhancement in JPEG2000 applications is proposed. Many papers and the results of chip implementation show that memory requirement dominates the hardware cost of the bit-plane coder. In order to reduce the memory size, a memory-free algorithm is proposed to eliminate state variable memories by calculating three coding state variables (/spl gamma//sub p+1/[n], /spl sigma//sub p+1/[n], and /spl pi//sub p/[n]) on the fly. We also propose a stripe-column-based pass-parallel operation to perform three coding passes in pipeline operation and to encode four samples within the stripe-column concurrently for the high throughput requirement. Experimental results show that the hardware cost and memory size of the proposed architecture is smaller than other existing architectures because of the proposed memory-free algorithm. Furthermore, the proposed architecture has 3 times greater throughput than other familiar architectures.

关键词： Throughput Costs Hardware Discrete wavelet transforms IEC standards ISO standards Pipelines Standards development image coding Entropy coding

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Optimizing Compressed Sensing with Taylor Sunflower Algorithm: A Performance Analysis of Hybrid Techniques for Biomedical Imaging and Video Surveillance

Optimizing Compressed Sensing with Taylor Sunflower Algorith...

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Innovations in High Speed Communication and signal processing (IHCSP), International conference on

作者： Asha Rajiv Santosh Kumar S. Arul Antran Vijay Prabhat Sharma Ranjusha J P Prateek Aggarwal School of Sciences Physics & Electronics JAIN (Deemed to be University) Bangalore Karnataka India AIDS Vishwakarma Institute of Technology Pune India Department of Computer Science Engineering Karpagam College of Engineering Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of S&H Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

A powerful area that seeks to minimize the amount of space of signals that are compressible or sparse in a specific base representation that uses compressed recognizing in video streaming applications. A sparse signal provides a good approximation of the signal since the representation is sparse and the amplitude of the coefficient’s decays according to the power law. The process of projecting signals into a space with low dimensions results in measurement vectors. A sparse signal may be accurately reconstructed using the measurement vector. Imprecise or noisy data that may nevertheless be compressed and used for approximation purposes. images in the frequency or wavelet domain are suitable for Compressed Sensing because they are inherently compressible. Reconstructed images are of higher quality, and the compression ratio—the ratio of an image's pixel count to its measurement vector—has been reduced, enabling more precise reconstruction. Taylor SFO based CS is a two-stage optimization technique for picture compression and recovery that aims to enhance the quality of models with high correlation and low redundancy. An image that uses self-replication and 3D change to compress itself is first processed in the early phase. In the last step, the CS uses SSIM to recover pictures using an ensemble sparseness estimate and Taylor SFO parameters.

关键词： image coding wavelet domain Three-dimensional displays Frequency-domain analysis Biomedical measurement Streaming media Extraterrestrial measurements Vectors Noise measurement image reconstruction

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View and rate scalable multiview image coding with depth-image-based rendering

View and rate scalable multiview image coding with depth-ima...

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International conference on Digital signal processing (DSP)

作者： Vladan Velisavljević Vladimir Stanković Jacob Chakareski Gene Cheung Deutsche Telekom Research and Development Laboratories Berlin Germany University of Strathclyde Glasgow UK Ecole Polytechnique Fédérale de Lausanne Switzerland National Institute of Information Tokyo Japan

“Texture plus depth” refers to the format where a sender encodes both texture and depth maps at multiple camera-captured viewpoints. Having received such a representation, the decoder can synthesize novel intermediate view images via depth-image-based rendering (DIBR), using as anchors the texture and depth maps of the two closest captured viewpoints. Ideally then, one would optimally allocate available source coding bits among the encoded texture and depth maps, such that the synthesized view distortion is minimized. However, in many practical application scenarios the precise rate constraint may either: i) be unknown at encoding time, or ii) it can take on multiple values for clients of heterogeneous connectivities. In this paper, we propose a flexible codec and an associated bit allocation strategy to address both of these scenarios. In particular, we first present an edge-adaptive wavelet multiview image codec capable of producing a scalable bitstream from which proper subsets can be extracted and decoded at different bit-rates. Given our scalable codec, we then propose a rate allocation algorithm that performs one of the following two actions. The algorithm will either incrementally increase the number of bits for encoding texture or depth maps of already encoded viewpoints, or it will introduce into the scalable representation new texture or depth maps of previously uncoded captured viewpoints. The incremental choice of either refining an existing view or introducing a new one is carried out one layer at a time, such that the associated rate-distortion tradeoff is locally optimized. By employing our novel bit allocation strategy the proposed coder outperforms the state-of-the-art H.264/SVC codec as well as the same wavelet-based coder when armed with a simple suboptimal bit allocation with the same rate allocated to each map, in all coding scenarios studied in our experiments. Furthermore, our coder can achieve an arbitrarily fine granularity of encoding bit r

关键词： Encoding Codecs Bit rate Static VAr compensators image coding Optimization Rendering (computer graphics)

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