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In spite of graphics hardware advancements, graphics memory is still a scarce resource for usual applications. Besides, for most raster-based applications, the available bandwidth is one important limiting factor for increasing performance in the system. Texture compression addresses both of these problems. We introduce a new technique for compression of textures synthesized from samples. The compressed...
We present a new approach that realizes an image-based fault tolerant distance computation for a multi-view camera system which conservatively approximates the shortest distance between unknown objects and 3D volumes. Our method addresses the industrial application of vision-based protective devices which are used to detect intrusions of humans into areas of dangerous machinery, in order to prevent...
H.264 intra prediction algorithm has a high computational complexity. This paper proposes a pixel similarity based technique for reducing the amount of computations performed by H.264 intra prediction algorithm and therefore reducing the power consumption of H.264 intra prediction hardware. The proposed technique performs a small number of comparisons among neighboring pixels of the current block...
Computer architectures for advanced driver assistance systems have become increasingly important in the automotive industry. They target safety-critical applications, which process large amounts of incoming sensor data. This is especially the case for image processing applications, which must handle several uncompressed image streams from multiple cameras. As one possible target architecture, FPGAs...
Due to the thirst for bandwidth resource and the limitation of device size, mobile GPUs face more challenges than their desktop counterparts do when seeking realistic visual quality. To alleviate the severely restricted situation mobile GPUs in, we propose a new universal buffer compression method to handle both color and depth data with the same hardware unit. While the previous state-of-the-arts...
In this paper, we propose a real-time platform for the H.264 CODEC with a memory management method, in which we use a preloading mechanism in order to reduce access to external memory. The platform uses an external DDR2 memory (to record the sequence images) and an intelligent memory controller to read the external memory periodically to load another local memory by the macroblocks (of different sizes)...
Motion Estimation (ME) is the most computationally intensive part in the whole video compression process. The ME algorithms can be divided into full search ME (FS) and fast ME (FME). The FS is not suitable for high definition (HD) frame size videos because its relevant high computation load and hard to deal with complex motions in limited search range. A lot of FME algorithms have been proposed which...
In this work the image is segmented effectively based on texture feature by reducing the noise. For effective image segmentation Expectation-Maximization (EM) algorithm based on Gabor filter is used. The EM algorithm is applied on 2D Ultrasonic image of uterus and tested. The Gabor function has been recognized by its multiresolution properties and the precision of locating the texture features in...
As the video resolution increases, high computational complexity of the fractional motion estimation (FME) introduces difficulty to meet real-time constraints in a video coding. In this paper, we proposed a single-pass FME algorithm and its architecture with low hardware cost and negligible loss of the image quality. The proposed algorithm directly searches only surroundings of both the predicted...
In order to increase coding efficiency, a perception-aware H.264/AVC encoder is proposed in this paper. With a different perception models for intra-frames and inter-frames, the initial quantization parameter (QP) is perceptually adjusted to remove perceptual redundancy. Moreover, the associated hardware architectures of the whole encoder and the perception analysis engine are also proposed with hardware...
As camera sensor technology has advanced, image sizes have grown and the methods employed to process imagery have become more advanced and complex. For infrared (IR) imaging systems, more processing is typically required than in electro-optical (EO) systems in order to adjust the data so that it is visibly more meaningful or to preserve details that may be lost in compression. JPEG and JPEG2000 typically...
A case study describing the influence of TFT LCD graphics on automotive radiated emissions testing and its impact to the FM band receiver. The underlying root-cause of the EMI issue is determined using a novel technique that decodes the display's graphics into the transmitted RGB data and predicts the data's impact to radiated emissions. The countermeasure implemented to resolve the issue is equally...
In this paper, we design and implement 3D scan conversion algorithm using Handel-C language. Primarily we introduce the 3D graphics rendering process and analyze the principle of improved scan conversion algorithm. Then we design and implement the improved scan conversion algorithm. Finally we translate the Handel-C code into Verilog-HDL code and verify the design in ModelSim. Parallel optimization...
This paper proposes a novel hardware structure and FPGA implementation method for real-time detection of multiple human faces with robustness against illumination variations and Rotated faces. These are designed to greatly improve face detection in various environments, using the Adaboost learning algorithm and MCT techniques, Rotation Transformation, which is robust against variable illumination...
This paper presents the implementation and evaluation of a computer vision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem, it provides results about gained performance and precision compared with similar solutions on General Purpose Processor (GPP) architectures. The problem of detecting Binary Large OBjects (BLOBs)...
The computational-intensive demands of H.264 video encoder normally imply to the use of high performance hardware solutions like dedicated multimedia DSP or programmable logic devices. These demands can be even more critical when it is necessary to implement a H.264/SVC (Scalable Video Coding) solution, an emergent encoder standard that provides the generation of flexible and adaptive multi-layer...
This paper describes a new architecture and the corresponding implementation of a stereo vision system that covers the entire stereo vision process including noise reduction, rectification, disparity estimation, and visualization. Dense disparity estimation is performed using the non-parametric rank transform and semi-global matching (SGM), which is among the top performing stereo matching methods...
The H.264/AVC intra-only frame encoder, for its excellent encoding performance, is well-suited for image/video compression applications such as Digital Still Camera (DSC), Digital Video Camera (DVC), Television Studio Broadcast and Surveillance video. The forward integer transform is an integral part of the H.264/AVC video encoder. In this paper, for image compression applications running on battery-powered...
The next generation of Earth-observing spacecraft are likely to generate enormous volumes of data. A major challenge lies in the conversion of these mountains of data into information useful to researchers and other users. Hierarchical segmentation is one way to detect relationships among regions in a hyperspectral image. We implemented this algorithm on a next-generation space-capable hardware platform,...
Specific architectures for different low level vision modalities have been developed and described using reconfigurable hardware. Each of them tries to solve a single low level vision problem: optical flow, disparity, segmentation, tracking, etc. We introduce a novel architecture that includes multiple processing engines in a massively parallel low level vision processing engine of very high complexity...
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