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The complete Voronoi map of a binary image with black and white pixels is a matrix of the same size such that each element is the closest black pixel of the corresponding pixel. The complete Voronoi map visualizes the influence region of each black pixel. However, each region may not be connected due to exclave pixels. The connected Voronoi map is a modification of the complete Voronoi map so that...
Digital halftoning is an important process to convert a grayscale image into a binary image with black and white pixels. Local exhaustive search‐based halftoning is one of the halftoning methods that can generate high‐quality binary images. However, considering the computing time, it is not realistic for most applications. As a first contribution, this paper proposes a graphics processing unit (GPU)...
The main contribution of this paper is to show a new GPU implementation for the digital half toning by the local exhaustive search that can generate high quality binary images. We have considered programming issues of the GPU architecture to implement these two methods on the GPU. The experimental result shows that our GPU implementation for the local exhaustive search on NVIDIA GeForce GTX 980 for...
The Hierarchical Memory Machine (HMM) is a theoretical parallel computing model that captures the essence of computing on CUDA-enabled GPUs. The summed area table (SAT) of a matrix is a data structure frequently used in the area of computer vision which can be obtained by computing the column-wise prefix-sums and then the row-wise prefix-sums. The main contribution of this paper is to introduce the...
The gradient-based Hough transform is an improvement of the original Hough transform. It is utilized to reduce substantially the computation quantity and make the detection more accurate using gradient information. The main contribution of this paper is to present an efficient implementation of the gradient-based Hough transform for straight lines detection using a Xilinx Virtex-7 FPGA with embedded...
Since FPGA chips maintain relatively low price and its programmable features, it is widely used in those fields which need to update architecture or functions frequently such as communication and education areas. Especially, in mobile devices that recently require the ability to perform computation such as real-time image processing, FPGAs are promising devices. Recent FPGAs have hundreds of embedded...
The main contribution of this paper is to present a new FPGA architecture for the Hough transform that identifies straight lines in a binary image. Recent FPGAs have hundreds of embedded DSP slices and block RAMs. For example, Xilinx Virtex-6 Family FPGAs have a DSP48E1 slice, which is a configurable logic block equipped with fast multipliers, adders, pipeline registers, and so on. They also have...
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