Implementing a Histogram Equalization Algorithm in Reconfigurable Hardware
نویسنده
چکیده
Dedicated hardware can be used when images and video are acquired and processed. In this paper, a histogram equalization algorithm is written in a Hardware Description Language for future implementation in reconfigurable hardware. The goal of this project is to implement a histogram equalization algorithm using VHDL for a real-time processing system on a Field Programmable Gate Array (FPGA). The histogram equalization algorithm was implemented and tested using a known 4 x 4 array. The array was initially coded in MATLAB and then converted to VHDL, which describes the behavior and structure of electronics systems. The algorithm was later tested using Forward Looking Infrared (FLIR) images. The simulated speed of the VHDL implementation was 0.020 ns vs. 0.053 ms in MATLAB. In conclusion, the histogram equalization has been successfully implemented in VHDL using Xilinx ISE, MATLAB and ModelSim.
منابع مشابه
Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images
Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...
متن کاملStandard Intensity Deviation Approach based Clipped Sub Image Histogram Equalization Algorithm for Image Enhancement
The limitations of the hardware and dynamic range of digital camera have created the demand for post processing software tool to improve image quality. Image enhancement is a technique that helps to improve finer details of the image. This paper presents a new algorithm for contrast enhancement, where the enhancement rate is controlled by clipped histogram approach, which uses standard intensit...
متن کاملAlgorithms and Hardware Implementation of Real Time Automatic Gain Control Feature for Thermal Imager
Thermal imagers operating in the 3-5 micron and 8-12 micron spectral bands require Automatic Gain Control (AGC) to enhance the visual detection and identification of targets against varying atmospheric conditions. In this paper, two algorithms viz., plateau equalization and adaptive plateau equalization algorithms are discussed for implementing AGC. The MATLAB simulation results show the effect...
متن کاملOn Feasibility of Adaptive Level Hardware Evolution for Emergent Fault Tolerant Communication
A permanent physical fault in communication lines usually leads to a failure. The feasibility of evolution of a self organized communication is studied in this paper to defeat this problem. In this case a communication protocol may emerge between blocks and also can adapt itself to environmental changes like physical faults and defects. In spite of faults, blocks may continue to function since ...
متن کاملOptimal Image Quantization, Perception and the Median Cut Algorithm
We study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that quantization using histogram equalization provides optimal perceptual results. This fact is well known and widely used but, to our knowledge, a proof has never appeared on the literature of image processing.
متن کامل