Journal ArticleDOI
A Reconfigurable Memory-Based Fast VLSI Architecture for Computation of the Histogram
Pulak Mondal,Swapna Banerjee +1 more
TLDR
A memory-based parallel algorithm for histogram computation and its possible VLSI architecture have been presented and the architecture is mapped in field programmable gate array.Abstract:Â
Histogram computation is a fundamental task often encountered in image processing systems. This plays an important role in various applications like image registration, show-through correction method in scanned image of duplex mode printed document, etc. Mutual information (MI) is one of the best metric for intensity-based multimodality image registration. Similarity measurement between the images consumes significant amount of the execution time in image registration. Computation of MI requires to obtain individual and joint histogram of two images. Typical joint histogram sizes range between 322 and 2562. The demand of hardware resource for computation of histogram increases substantially with increasing of histogram size. The array-based method may not be a suitable candidate in this application, because of large histogram size. Computation of histogram is inherently sequential in nature. But a parallel computation of histogram would reduce the processing time, which is going to help various imaging systems. In this paper, a memory-based parallel algorithm for histogram computation and its possible VLSI architecture have been presented. The architecture is mapped in field programmable gate array. The proposed architecture utilizes 99.66% less of the hardware compared to latest available architecture in the literature and consumes 8.78 mW power.read more
Citations
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Journal ArticleDOI
Development of optimized memory based VLSI architecture with histogram analysis for image contrast enhancement
TL;DR: In this article, a new VLSI structure is developed for contrast enhancement using optimized memory-based histogram analysis, where a comparator-less parallel rank ordering filter is proposed to remove the noise in the pre-processing stage.
Journal ArticleDOI
High-Performance Computing of Real-Time and Multichannel Histograms: A Full FPGA Approach
TL;DR: In this article , the authors present a full FPGA approach to this issue, resulting in a high-performance IP-Core for generating and managing multiple histograms in real time, each supporting a data flow up to 224 MSps.
Journal ArticleDOI
FPGA-accelerated adaptive cartesian to polar conversion and efficient MI computation for image registration
Journal ArticleDOI
High-Performance Computing of Real-Time and Multichannel Histograms: A Full FPGA Approach
TL;DR: A full FPGA approach to histogramming is presented, resulting in a high-performance IP-Core for generating and managing multiple histograms in real time, each supporting a data flow up to 224 MSps, with a strong focus on overall flexibility and area efficiency.
A Review of Image Histogram Computation Architectures On FPGA
TL;DR: The histogram of a grayscale image is discussed because of effective hardware utilization of histogram structures, it is well suited to generate histograms for various applications like military and medical applications which is not possible in MATLAB software.
References
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A Survey of Medical Image Registration on Multicore and the GPU
TL;DR: This article looks at early, recent, and state-of-the-art methods for registration of medical images using a range of high-performance computing (HPC) architectures including symmetric multiprocessing (SMP), massively multiprocessioning (MMP), and architectures with distributed memory (DM), and nonuniform memory access (NUMA).
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Texture classification using spectral histograms
Xiuwen Liu,DeLiang Wang +1 more
TL;DR: A filter selection algorithm is proposed to maximize classification performance of a given dataset and the spectral histogram representation provides a robust feature statistic for textures and generalizes well.
Journal ArticleDOI
Image contrast enhancement using bi-histogram equalization with neighborhood metrics
TL;DR: A new extension of bi-histogram equalization called Bi-Histogram Equalization with Neighborhood Metric (BHENM) is proposed, which simultaneously preserved the brightness and enhanced the local contrast of the original image.
Journal ArticleDOI
Design considerations of color image processing pipeline for digital cameras
TL;DR: A new color image processing pipeline (IPP), which processes the image raw data captured from CCD/CMOS sensors and converts to the final color with exposure corrected, is presented and it bridges the gap between theoretical color imaging sciences and practical IPP implementation issues found in digital imaging systems.
Journal ArticleDOI
High Dynamic Range Imaging by Fusing Multiple Raw Images and Tone Reproduction
TL;DR: The experimental results show that the proposed high dynamic range imaging system has good performance on both tone and color reproduction.