FPGA Implementation of Real-Time Adaptive Bidirectional Equalization for Histogram

2012 ◽  
Vol 461 ◽  
pp. 215-219
Author(s):  
Yu Qian Zhao ◽  
Zhi Gang Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Speed ◽  
Local Maximum ◽  
Histogram Equalization ◽  
Infrared Images ◽  
Single Frame ◽  
Processing Effects ◽  
Simulation Results ◽  
Enhancement Algorithm

According to the characteristics of infrared images, a contrast enhancement algorithm was presented. The principium of FPGA-based adaptive bidirectional plateau histogram equalization was given in this paper. The plateau value was obtained by finding local maximum and whole maximum in statistical histogram based on dimensional histogram statistic. Statistical histogram was modified by the plateau value and balanced in gray scale and gray spacing. Test data generated by single frame image, which was simulated by FPGA-based real-time adaptive bidirectional plateau histogram equalization. The simulation results indicates that the precept meet the requests well in both the image processing effects and processing speed

Enhancement algorithm for real-time infrared image processing

2011 ◽  
Author(s):  
Tian Si ◽  
Lizhi Wang ◽  
Yijia Tian ◽  
Junju Zhang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Infrared Image ◽  
Infrared Image Processing ◽  
Enhancement Algorithm

Research on the Image Enhancement Algorithm of Pointer Instrument under Inadequate Light

2014 ◽  
Vol 615 ◽  
pp. 248-254 ◽  
Author(s):  
Lu Zhang ◽  
Jin Lin Zhang ◽  
Ting Rui ◽  
Yue Wang ◽  
Yan Nan Wang
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Traditional Method ◽  
Histogram Equalization ◽  
Light Conditions ◽  
Low Light ◽  
Homomorphic Filtering ◽  
The Impact ◽  
Image Details ◽  
Enhancement Algorithm

For image processing, the recognition of pointer instrument’s reading by computer vision highly depends on brightness. An image enhancement algorithm based on homomorphic filtering and histogram equalization is proposed in order to reduce the impact of low-light conditions on images of pointer instrument. It combines the methods of spatial with frequency domain, which enhances the image contrast and highlights the image details as well. Compared with the traditional method, the experiments show that the proposed method can eliminate the effect of inadequate light and also perform well in enhancing the image quality.

A real-time contrast enhancement algorithm for infrared images based on plateau histogram

2006 ◽  
Vol 48 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Bing-jian Wang ◽  
Shang-qian Liu ◽  
Qing Li ◽  
Hui-xin Zhou
Keyword(s):  
Contrast Enhancement ◽  
Real Time ◽  
Infrared Images ◽  
Enhancement Algorithm

An Embedded Infrared Image Enhancement System Based on DSP and FPGA

2012 ◽  
Vol 505 ◽  
pp. 263-266
Author(s):  
Dong Mei Liu ◽  
Tao Zhang ◽  
Chuan Li Yin ◽  
Xiao Qiang Ji
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
High Speed ◽  
High Performance ◽  
Infrared Image ◽  
Processing System ◽  
Histogram Equalization ◽  
Running Time ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

According to the disadvantage of the large noises of histogram equalization algorithm, a new adaptive image enhancement algorithm is presented. First, the statistical histogram of the infrared image is done. Then the threshold of plateaus Equalization is calculated and the statistical histogram is modified. Finally the bright values of the pixels of the image are changed. An embedded high speed image enhancement processing system on high performance DSP TMS320DM642 and FPGA was designed. Experimental results with real images shown that the system can improve the contrast of the infrared image, limit the noises of the enhancement image, and effectively enhance the infrared image, the running time of the program is shorter, so it can meet the requirements of real-time in the project.

scholarly journals Endoscopic Video Pre-Processing using Histogram Equalization and Canny Edge Detection Technique and Hough Transform Technique for Polyp Detection

2019 ◽  
Vol 8 (4) ◽  
pp. 1793-1795
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Medical Practitioner ◽  
Histogram Equalization ◽  
Polyp Detection ◽  
Endoscopic Video ◽  
Canny Edge ◽  
Processing Techniques ◽  
Gastro Intestinal Tract ◽  
Endoscopic Videos

Paper An effective image processing approach has been shown to process real time endoscopic videos to support practitioners in taking vital decisions regarding cancer patients. The images are extracted from real time endoscopy videos using the available software and fed into Matlab for image processing, the results of the processed videos are returned back to the host software. Image processing techniques are used to recognize and enhance the visualization of the polyps present in gastro intestinal tract which help the practitioners in decision making. The intention of the system is to assist the physician or medical practitioner for better visualization and identifying abnormal structures like polyps and bleeding regions during the endoscopic procedures. This proposed system is experimented on the recorded gastrointestinal dataset which contains ten sequence videos with 7894 total frames.

scholarly journals Research on the Infrared Thermographic Detection of Concrete under Solar Heating

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Dan Zheng ◽  
Shuaishuai Tan ◽  
Xinxin Li ◽  
Haonan Cai
Keyword(s):  
Heat Source ◽  
Concrete Structures ◽  
Histogram Equalization ◽  
Infrared Detection ◽  
Infrared Images ◽  
Image Preprocessing ◽  
Detection Technology ◽  
Detection Depth ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

Infrared thermography for detecting defects in concrete structures is closely related to the heat source and the optimized method of the thermal image. Due to the limitation of the irradiation area of the heat source, it is inefficient to detect the defects in large concrete structures. In this paper, sunlight was employed as a heat source to detect the defects with different sizes and depths in concrete, and the measured infrared images were processed and optimized by an enhancement algorithm. The experimental results showed that the defects in concrete could be rapidly identified under sunlight. The effect of environment, view angle, and boundary can be eliminated by image preprocessing, and the histogram equalization algorithm can increase the detection depth of the defects. The research results can also provide a reference for the infrared detection technology of concrete under the weak heat source.

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