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The MMP is an algorithm for image compression which uses the multiscale method of recurrent patterns, based on dictionary. The MMP has compression ratio at the same level of others compression algorithms which are based on transforms, having been detached to images with high frequency, however its execution time has been shown high, by repeated searches of these patterns in dictionaries. In this paper...
Image filtering is mainly used for pre-processing in many applications of image processing such as noise removal in industrial inspection, enhancement for pattern recognition, restoration of degraded images, etc. For real-time processing, it is crucial that these applications meet the desired throughput. As processing demands get higher through complex algorithms and large resolution or very high...
The stable Euler-Number based image binarization gives excellent visual results for video frames containing high amount of image noise. Being computationally expensive, its implementations are limited to general purpose processors for the most cost-effective solution or in application specific integrated circuits for maximum performance. This paper proposes a modified stable Euler-number based algorithm...
SIFT is regarded as one of the most powerful feature point detection algorithms in the world. The Orientation Calculation Part, defining major orientation of feature points, enables selected image features to be invariant to rotation changes. In this paper, we propose an FPGA-implementable hardware accelerator for this part. By introducing LUT-Based Square Root Computation and Shifting-Based Orientation...
This paper presents the design methodology of hardware/software co-design on FPGA. In this research work uses line detection algorithm to be our case study. C-based programming named ImpulseC has been employed. By using this, we could reduce the time of the design. Two main components are involved. Edge detection module is the first component. Various algorithms, Robert, Sobel and Prewitt, are compared...
Watershed transformation is a powerful technique that can be efficiently used for image segmentation. In this paper, we implement a watershed based segmentation algorithm on a Virtex II Pro platform. The main contribution of this work is the low execution time and minimal internal FPGA consumed resources. The proposed architecture includes two main blocs. First, a gradient of the image is generated...
Current image sensors offer a raw output that incorporates a bayer color filter pattern, and additional processing is required to obtain a full color image. This paper presents a bilinear interpolation algorithm to demosaick images with bayer color pattern; the algorithm is implemented in a single field programmable gate array (FPGA) device using a pipelined architecture. A comparison between images...
In this article the external digital interface specially designed for thermographic camera built in Military University of Technology is described. The aim of article is to illustrate challenges encountered during design process of thermal vision camera. This article explains main requirements for interface to transfer Infra-Red digital data and describes the solution which we elaborated based on...
This work presents a hardware acceleration scheme for a 3D reconstruction method, targeting demanding dynamic Integral Imaging applications. The architecture exploits parallel processing and minimizes memory operations by implementing an efficient metric and an extended-access memory scheme. The employed data reutilization technique reduces overall throughput allowing the use of a single FPGA. Results...
Video microscopic platforms have been developed to capture cell dynamics, such as cell velocity, in real-time to quantify and usefully leverage the electro kinetic response of cells to electric fields. The first and critical task in a cell motion detection algorithm is the computationally demanding segmentation process, where a static cell boundary aids grouping the cell regions and thereby identifying...
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