SAR Image Despeckling Based on Nonsubsampled Shearlet Transform Abstract? Synthetic Aperture Radar (SAR) Image despeckling is an important problem in SAR image processing since speckle may interfere with automatic interpretation. This paper presents a new approach for despeckling based on nonsubsampled shearlet transform. The approach introduced here presents two major contributions: (a) Translation-invariant Nonsubsampled Shearlet…
SAR Image Registration Using Phase Congruency and Nonlinear Diffusion-Based SIFT Abstract? SAR Image Registration Using Phase Congruency and Nonlinear Diffusion-Based SIFT. The scale-invariant feature transform < Final Year Projects 2016 > SIFT algo-rithm has been widely applied to optical image registration. ow-ever, mostly because of multiplicative speckle noise, SIFT has a imited performance when directly…
Satellite Image Adaptive Restoration Using Periodic Plus Smooth Image Decomposition and Complex Wavelet Packet Transforms Abstract?A satellite image adaptive restoration method was developed that avoids ringing artifacts at the image boundary and retains oriented features. The method combines periodic plus smooth image decomposition with complex wavelet packet transforms. The framework first decomposes a degraded…
satellite Image Resolution Enhancement using Dual – Tree Complex wavelet Transform and Non Loacl means Abstract? Resolution enhancement (RE) schemes (which are not based on wavelets) suffer from the drawback of losing high-frequency contents (which results in blurring). The discrete-wavelet-transform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach…
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data Abstract? Trajectory data are prevalent in systems that monitor the locations of moving objects. In a location-based service, for instance, the positions of vehicles are continuously monitored through GPS; the trajectory of each vehicle describes its movement history.We study joins on two sets of trajectories, generated…
Scalable Analytics for IaaS Cloud Availability Abstract?Scalable Analytics for IaaS Cloud Availability. In a large Infrastructure-as-a-Service (IaaS) cloud, component failures are quite common. Such failures may lead to occasional system downtime and eventual violation of Service Level Agreements (SLAs) on the cloud service availability. The availability analysis of the underlying infrastructure is useful to the…
Scalable Application-Dependent Diagnosis of Interconnects of SRAM-Based FPGAs Abstract?This paper presents a new method for diagnosing (detection and location) multiple faults in an application-dependent interconnect of a SRAM-based FPGA. For fault detection, the proposed technique retains the original interconnect configuration and modifies the function of the LUTs using the new LUT programming function 1-Bit Sum…
Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data Abstract? This work introduces a set of scalable algorithms to identify patterns of human daily behaviors. These patterns are extracted from multivariate temporal data that have been collected from smartphones. We have exploited sensors that are available on these devices, and have identified frequent behavioral…
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects Abstract? Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects. Central to many applications involving moving objects is the task of processing k-nearest neighbor (k-NN) queries. Most of the existing approaches to this problem are designed for the centralized setting where query…
Scalable Face Image Retrieval using Attribute-Enhanced Sparse Codewords Abstract?Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain…
Scalable Face Image Retrieval using Attribute-Enhanced Sparse Codewords Abstract?Scalable Face Image Retrieval using Attribute-Enhanced Sparse Codewords. Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim…
Scalable Recommendation with Social Contextual Information Abstract?Scalable Recommendation with Social Contextual Information. Exponential growth of information generated by online social networks demands effective and scalable recommender systems to give useful results. Traditional techniques become unqualified because they ignore social relation data; existing social recommendation approaches consider social network structure, but social contextual information has not…
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