scholarly journals Image processing using a reconfigurable platform: Pre-processing block hardware architecture

2021 ◽  
Vol 10 (3) ◽  
pp. 230
Author(s):  
Chiranjeevi G. N. ◽  
Subhash Kulkarni
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Data Access ◽  
Hardware Architecture ◽  
Access Time ◽  
Zero Padding ◽  
Real Time Image ◽  
Reconfigurable Platform ◽  
Processing Block ◽  
Time Image

<p class="CM12">Real time image processing is a challenging task in which fetching the sub image requires offset memory access apart from core processing needs. This paper aims at overcoming the offset needs for memory addressing in pre-processing blocks. Another feature of this present work is to appending the image data with customized algorithmic reequipments viz duplicating, zero padding. For KxK kernel size, the proposed hardware architecture can be programmed to fetch K pixels in one cycle, reducing the data access time. Results have been compared with software-based processing for KxK spatial filtering. performance indicates significant timing improvement using proposed pre-processing hardware block.</p>

scholarly journals Overhead wires detection by FPGA real-time image processing

2019 ◽  
Vol 28 ◽  
pp. 01046
Author(s):  
Paweł Kowalski ◽  
Robert Smyk
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Hardware Implementation ◽  
Image Filtering ◽  
Maximum Frequency ◽  
Hardware Complexity ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Processing Block ◽  
Time Image

The paper presents design and hardware implementation of real-time image filtering for overhead wires detection divided on image processing and results presentation blocks. The image processing block was separated from the whole implementation, and its delay and hardware complexity was analysed. Also the maximum frequency of image processing of the proposed implementation was estimated.

Design and Realization of Double-Buses Modularized Structure Image Processing System

2011 ◽  
Vol 179-180 ◽  
pp. 257-263
Author(s):  
Biao Zhang ◽  
Yue Huan Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Parallel Structure ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Data Bus ◽  
Time Image

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.

A new software/hardware architecture for real time image processing of wide area airborne camera images

2008 ◽  
Vol 4 (3) ◽  
pp. 229-244 ◽  
Author(s):  
Ulrike Thomas ◽  
Dominik Rosenbaum ◽  
Franz Kurz ◽  
Sahil Suri ◽  
Peter Reinartz
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Hardware Architecture ◽  
Wide Area ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image

scholarly journals Embedded Real-Time Image Processing System Based on DM6446+FPGA Architecture

2012 ◽  
Vol 6-7 ◽  
pp. 542-546
Author(s):  
Bao Feng Zhang ◽  
Yi Yang ◽  
Jun Chao Zhu ◽  
Cui Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Fpga Architecture ◽  
Real Time Image ◽  
Output Field ◽  
Time Image

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.

The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530

2013 ◽  
Vol 816-817 ◽  
pp. 535-539
Author(s):  
Yu Jie Zhang ◽  
Ying Ying Wu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Combustion Process ◽  
Engineering Application ◽  
Image Data ◽  
Signal Acquisition ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
And Control ◽  
Time Image

In this paper, according to the characteristics of power plant boiler combustion process, to use the image processing technology to extract feature quantity of flame combustion. For boiler combustion diagnosis real-time requirements, the system of real-time image processing and combustion diagnosis based on OMAP3530 was designed and developed. The system makes full use of the OMAP3530 dual-core processor, and makes the operating system and control, video signal acquisition, human-computer interaction, output driving tasks run on the ARM, and the image data processing tasks are completed by DSP. It maximizes the performance of OMAP3530, improves the real-time performance of the system. Experiments were carried out in 200MW boiler. The results show that, the system is simple and practical, which can realize the combustion diagnosis of the running boiler and provide the reliable basis for the safety and economic operation of power station boiler. It has a certain engineering application prospect.

scholarly journals An Artificial Cellular Convolution Architecture for Real-Time Image Processing

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
H. Mahrous ◽  
A. P. James
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Artificial Life ◽  
Hardware Design ◽  
Hardware Architecture ◽  
Self Organization ◽  
Convolution Operation ◽  
Artificial Cell ◽  
Real Time Image ◽  
Time Image

An artificial cell is comprised of the most basic elements in a hierarchical system, that has minimal functionality, but general enough to obey the rules of “artificial life.” The ability to replicate, organize hierarchy, and generalize within an environment is some of the properties of an artificial cell. We present a hardware artificial cell having the properties of generalization ability, the ability of self-organization, and the reproducibility. The cells are used in parallel hardware architecture for implementing the real-time 2D image convolution operation. The proposed hardware design is implemented on FPGA and tested on images. We report improved processing speeds and demonstrate its usefulness in an image filtering application.

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

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Defu He ◽  
Si Xiong
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Computing Technology ◽  
Image Processing System ◽  
Real Time Image ◽  
Time Image

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.

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