image filters have become a popular feature of photo editing software and camera phones. Filter identification can provide useful information for us to determine source and processing history of images. Currently, the...
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ISBN:
(纸本)9781509021758
image filters have become a popular feature of photo editing software and camera phones. Filter identification can provide useful information for us to determine source and processing history of images. Currently, there is no forensic work done to perform filter identification. In this paper, we propose a framework to search for color correlations left by different filters in a set of interpolation residuals obtained from various demosaicing algorithms. To effectively capture the structures of color correlations, we design a diverse set of geometric co-occurrence patterns and gather both intra-channel and inter-channel color dependencies using co-occurrence matrices. Experiments conducted on two large image databases full demonstrate the ability of our framework to identify a wide range of filters provided by both cameras and third-party software.
In this work, eye pupil center estimation was performed by using Convolutional Neural Network (CNN) from deep learning methods which are mentioned frequently in the field of machine learning recently, without need for...
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ISBN:
(纸本)9781509064946
In this work, eye pupil center estimation was performed by using Convolutional Neural Network (CNN) from deep learning methods which are mentioned frequently in the field of machine learning recently, without need for any special hardware. 64x64 image patches created with four different scales were trained through the Caffe framework using the AlexNet model, which was arranged according to its input image. The distances from patch center to eye pupil center were used as class labels in train phase. In the test phase, distance classes were produced by giving four-scaled image patches formed by points using sliding window approach in eye area as an input to the trained model. The center of eye pupil was estimated by taking the weighted average of those points which have distance classes near to zero. The recommended technique achieved more successful results than similar state of the art techniques in the literature according to the results of experiments using BioID dataset.
Increasing the low spatial resolution of hyperspectcal images (HSIs) improves the performance of applications in which the HSIs are used. In this study, a fusion based method is proposed to increase the resolution of ...
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ISBN:
(纸本)9781509064946
Increasing the low spatial resolution of hyperspectcal images (HSIs) improves the performance of applications in which the HSIs are used. In this study, a fusion based method is proposed to increase the resolution of IISIs. In the proposed method, low resolution (LR) HSI is fused with the high resolution (HR) RGB image to obtain the HR HSI. In this approach, instead of using the spectral images as in the conventional methods, RGB image is used with the abundance maps of the HSI estimated from the linear unmixing and the spatial resolution is enhanced using these maps. In this method, firstly, endmembers are estimated and LR abundance maps are obtained. Then, HR abundance maps are obtained by minimizing an energy function, which is constructed from the LR abundance maps with the HR RGB image. Finally, HR HSI is obtained from these HR abundance maps. The method is tested with real HSIs. Main contribution of the method is converting fusion problem to a quadratic optimization problem in the abundance map domain without any assumption or prior knowledge. The proposed method solves the fusion problem with a computational time much lower than the state-of-the-art fusion based methods with a competing performance.
Overlays are reconfigurable architectures synthesized on commercial of the shelf (COTS) FPGAs. Overlays bring some advantages such as portability, resources abstraction, fast configuration, and can exhibit features in...
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ISBN:
(纸本)9791092279153
Overlays are reconfigurable architectures synthesized on commercial of the shelf (COTS) FPGAs. Overlays bring some advantages such as portability, resources abstraction, fast configuration, and can exhibit features independent from the host FPGA. We designed a fine-grained overlay implementing novel features easing the management of such architectures in a cluster of heterogeneous COTS FPGAs. This demonstration shows the use of this overlay in an FPGA cluster, performing a hardware application live migration between two nodes of a cluster. It also illustrates fault tolerance of the cluster.
Based on linear CCD, high resolution image real-time acquisition system serves as designing a set of image acquisition system for floor grinder through the calculation of optical imaging system. The entire image acqui...
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ISBN:
(数字)9781510617469
ISBN:
(纸本)9781510617469;9781510617452
Based on linear CCD, high resolution image real-time acquisition system serves as designing a set of image acquisition system for floor grinder through the calculation of optical imaging system. The entire image acquisition system can collect images of ground before and after the work of the floor grinder, and the data is transmitted through the Bluetooth system to the computer and compared to realize real-time monitoring of its working condition. The system provides technical support for the design of unmanned ground grinders.
Attribute profiles are widely regarded among the most prominent spectral-spatial pixel description methods, providing high performance at a low computational cost. Following their success with computer vision applicat...
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ISBN:
(纸本)9781509064946
Attribute profiles are widely regarded among the most prominent spectral-spatial pixel description methods, providing high performance at a low computational cost. Following their success with computer vision applications, deep learning methods on the other hand are also being rapidly deployed and adapted into the remote sensing image analysis domain, where they already provide competitive description performances. The combination of attribute profiles with convolutional neural networks has recently taken place, showing that these powerful approaches can collaborate. In this paper we explore that direction one step further, by first feeding a convolutional neural network self-dual attribute profiles stacked as a tensor, and then by harvesting the ultimate layer's features for a supervised classification. Our preliminary experiments indicate that this approach leads to a performance improvement.
Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, ...
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ISBN:
(纸本)9781538622544
Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, GPUs and ASICs. The main drawback in using FPGAs, however, is their steep learning curve. An emerging solution to this problem is to write algorithms in a Domain Specific Language (DSL) and to let the DSL compiler generate efficient code targeting FPGAs. This work proposes FROST, a unified backend that enables different DSL compilers to target FPGA architectures. Differently from other code generation frameworks targeting FPGA, FROST exploits a scheduling co-language that enables users to have full control over which optimizations to apply in order to generate efficient code (e.g. loop pipelining, array partitioning, vectorization). At first, FROST analyzes and manipulates the input Abstract Syntax Tree (AST) in order to apply FPGA-oriented transformations and optimizations, then generates a C/C++ implementation suitable for High-Level Synthesis (HLS) tools. Finally, the output of HLS phase is synthesized and implemented on the target FPGA using Xilinx SDAccel toolchain. The experimental results show a speedup up of 15x with respect to O3-optimized implementations of the same algorithms on CPU.
Currently, much research looks at treating the behavior properties beginning with the architectural design phase in SCA (Software Component architectures) based applications. In this paper, we propose to map SCA onto ...
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ISBN:
(纸本)9781538617595
Currently, much research looks at treating the behavior properties beginning with the architectural design phase in SCA (Software Component architectures) based applications. In this paper, we propose to map SCA onto the Wright ADL in order to verify the behavioral consistency of SCA software architectures. To achieve this goal, we suggest translating this source software architecture into a Wright configuration. Using Wr2fdr tool, this Wright configuration can be automatically translated to a CSP specification acceptable by the FDR2 model-checker.
Recursive least-squares (RLS) based prediction methods are very popular in lossless compression of hyperspectral imaging. Adaptive selection of number of bands used in the prediction in RLS based methods increases com...
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ISBN:
(纸本)9781509064946
Recursive least-squares (RLS) based prediction methods are very popular in lossless compression of hyperspectral imaging. Adaptive selection of number of bands used in the prediction in RLS based methods increases compression performance significantly. However, this process brings additional computational load. In this work, a sample reduction based fast adaptive method to determine the number of bands required for prediction is proposed. Performance of the proposed method is compared to the-state-of-the-art methods in terms of bitrates and computation times and obtained results are discussed.
The proceedings contain 504 papers. The topics discussed include: design and analysis of 5.2 GHz fractal rectangular microstrip patch antenna using Hilbert curve;link budget profile for non-line-of-sight atmospheric i...
ISBN:
(纸本)9781509044412
The proceedings contain 504 papers. The topics discussed include: design and analysis of 5.2 GHz fractal rectangular microstrip patch antenna using Hilbert curve;link budget profile for non-line-of-sight atmospheric infrared links;dynamic key generation using single threshold multiple level quantization scheme for secure wireless communication;a survey on defect detection in bare PCB and assembled PCB using imageprocessing techniques;morphological technique for detection of microaneurysms from RGB fundus images;interest point detection based on Laplacian energy of local image network;diabetic retinopathy: review on anatomical regions extraction methods and image databases of the retina;developing smart green cloud-an energy saving approach: a review and analysis;WiMAX for data aggregation in smart grid communication network - a review;novel design of sensing and transmission duration in cognitive radios for energy efficiency;energy efficient and reliable network design to improve lifetime of low power IoT networks;selection of features using particle swarm optimization for microaneurysm detection in fundus images;a review on recent improved image fusion techniques;implementation of single precision conventional and fused floating point add-sub unit using Verilog;development of lifting double wavelet for lidar signal denoising to retrieve temperature profiles;and edge enhancement of liver CT images using non subsampled shearlet transform based multislice fusion.
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