scholarly journals Image Processing Design and Algorithm Research Based on Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Defu He ◽  
Si Xiong

Image processing technology is a popular practical technology in the computer field and has important research value for signal information processing. This article is aimed at studying the design and algorithm of image processing under cloud computing technology. This paper proposes cloud computing technology and image processing algorithms for image data processing. Among them, the material structure and performance of the system can choose a verification algorithm to achieve the final operation. Moreover, let us start with the image editing features. This article isolates software and hardware that function rationally. On this basis, the structure of a real-time image processing system based on SOPC technology is built and the corresponding functional receiving unit is designed for real-time image storage, editing, and viewing. Studies have shown that the design of an image processing system based on cloud computing has increased the speed of image data processing by 14%. Compared with other algorithms, this image processing algorithm has great advantages in image compression and image restoration.

2011 ◽  
Vol 179-180 ◽  
pp. 257-263
Author(s):  
Biao Zhang ◽  
Yue Huan Wang

It is double-buses modularized structure with the combination of system control bus and high speed image data bus which is put forward in this paper. Moreover, the management and distribution of image data bus and the design of system reset procedure are elaborated through which a kind of practical real-time image processing system with the strongest adaptability and capability for structure programming and system expansion. The computing capability in infrared test of small target is greatly improved which is verified in tri DSP model system. According to complex image processing task, through the adjustment of parallel structure of image processing algorithm, the higher parallel efficiency can be realized. So to say, the system structure has a great adjustment to algorithm parallel structure and can be successfully used as a platform for universal real-time image processing.


2012 ◽  
Vol 6-7 ◽  
pp. 542-546
Author(s):  
Bao Feng Zhang ◽  
Yi Yang ◽  
Jun Chao Zhu ◽  
Cui Li

To solve the traditional image processing system problem such as large in size, high power consumption and poor real-time, an embedded real-time image processing system is designed based on TMS320DM6446+FPGA architecture. DM6446 as the core of the system is responsible for the scheduling, image processing algorithms, image output; field programmable gate array (FPGA) is responsible for capturing real-time image data, image preprocessing. The paper describes the principle of the real-time image processing system. The experiment proved that the system can achieve real-time acquisition, processing and output of image data in 20 frames per second.


2006 ◽  
Vol 2 (3) ◽  
pp. 225-228
Author(s):  
Bing-jian Wang ◽  
Shang-qian Liu ◽  
Yu-bao Cheng

2020 ◽  
Vol 16 ◽  

The measurement of surface pressure in wind tunnel or in flight tests gives very important data for aerodynamics analysis. In fact, the pressure measurement gives valuable information about air flow phenomena such as shock, flow separation and boundary layer transition. In this paper a real-time image processing system for pressure sensitive paint (PSP) measurement and calibration has been designed using a calibrated pressure sensor. In the implementation of the system, TCL paper is used to luminaphore inside a windowed enclosure and a factory-calibrated pressure sensor for validation of measurement. The pressure measurement of PSP is based on the images acquired from a CCD camera sent to the MyRIO processor module in which the real-time image processing has been applied. The results are compared with the calibrated sensor from which the A and B coefficients of the Estern Volmer Equation have been calculated. During the several tests done for the pressure measurement, the accuracy of the PSP measurement has been calculated in this paper. Both normal and real-time image processing analysis have been compared as well.


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