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.

A kind of real-time infrared image enhancement algorithm

2007 ◽  
Author(s):  
Tian Si ◽  
Youtang Gao ◽  
Jianliang Qiao ◽  
Benkang Chang
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Infrared Image ◽  
Enhancement Algorithm

An Improved Color Image Enhancement Algorithm Based on 3-D Color Histogram Equalization

2013 ◽  
Vol 321-324 ◽  
pp. 1133-1137
Author(s):  
Yu Ting Song ◽  
Xiu Hua Ji ◽  
Shi Lin Zhao
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Histogram Equalization ◽  
Color Images ◽  
Color Histogram ◽  
Test Results ◽  
Gray Scale ◽  
Color Image Enhancement ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

This paper proposes an improved color image enhancement algorithm based on 3-D color histogram equalization algorithm. When the existed 3-D color histogram equalization algorithms in the literatures are applied in processing dim color images, the processed color images often turn pale due to the decrease of color-saturations and have false contours due to gray-scale merging phenomenon in the histogram equalization algorithm. In this paper, the proposed algorithm can make more pixels of the processed color images keep their color-saturations and reduce the gray-scale merging with Logarithmic histogram equalization algorithm. Test results with dim color images present a better effect of image enhancement.

Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

2020 ◽  
Vol 59 (28) ◽  
pp. 9032
Author(s):  
Abhisek Paul ◽  
Tandra Sutradhar ◽  
Paritosh Bhattacharya ◽  
Santi P Maity
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Histogram Equalization ◽  
Equalization Algorithm

The Weld Image Acquisition and Preprocessing Based on FPGA

2013 ◽  
Vol 401-403 ◽  
pp. 1507-1513 ◽  
Author(s):  
Zhong Hu Yuan ◽  
Wen Tao Liu ◽  
Xiao Wei Han
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
High Performance ◽  
Image Acquisition ◽  
Processing System ◽  
Large Data ◽  
Seam Tracking ◽  
Image Processing System ◽  
Time Requirements

In the weld image acquisition system, real-time image processing has been a difficult design bottleneck to break through, especially for the occasion of large data processing capability and more demanding real-time requirements, in which the traditional MCU can not adapt, so using high-performance FPGA as the core of the high speed image acquisition and processing card, better meets the large amount of data in most of the image processing system and high demanding real-time requirements. At the same time, system data collection, storage and display were implemented by using Verilog, and in order to reducing the influence of edge detection noise, the combination of image enhancement and median filtering image preprocessing algorithm was used. Compared to the pre-processing algorithm of the software implementation, it has a great speed advantage, and simplifies the subsequent processing work load, improves the speed and efficiency of the entire image processing system greatly. So it proves that the system has strong ability of restraining the noise of image, and more accurate extracted edge positioning, it can be applied in the seam tracking field which need higher real-time requirements.

Detection Design and Implementation of Image Capture and Processing System Based on FPGA

2012 ◽  
Vol 433-440 ◽  
pp. 4565-4570
Author(s):  
Guo Sheng Xu
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Speed ◽  
High Performance ◽  
Low Cost ◽  
Processing System ◽  
Video Data ◽  
Image Capture ◽  
The Real ◽  
Video Data Compression

Due to the project in this article, a kind of image capture and processing system based on FPGA is proposed, the low cost high performance FPGA is selected as the main core, the design of the whole system including software and hardware are implemented. The system achieves to functions of the high -speed data collection, the high -speed video data compression the real time video data Network Transmission and the real time compression picture data storage. the data processed was transferred to PC through USB2.0 real-time to reconstruct defects microscopic images. Experimental results prove right and feasible by adopting the algorithm and scheme proposed in this paper.

Sign in / Sign up

Export Citation Format

Share Document