Study on the Technology of Digital Image Processing

Wen Hui Li

doi:10.4028/www.scientific.net/AMM.687-691.3555

Paper Titles

Simulation of the Output Characteristics of Solar Panels Based on Simulink
p.3536

The Theory and Realization Method for Weak-Magnetic Environment Simulation
p.3540

The Development and Application of 4G Mobile Communication Technology
p.3547

The Use of Computer Image Processing Technology in the Area of Graphic Design
p.3551

Study on the Technology of Digital Image Processing
p.3555

Human Action Recognition Based on Kinect and MCRF Model
p.3559

Oil Leak Image Data Analysis Based on Maximum Variance Threshold Method
p.3564

A Novel Fault Diagnosis Method Based on Time-Frequency Image Recognition
p.3569

Research on Communication Protocol Agreement Based on Ad Hoc Network
p.3574

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Study on the Technology of Digital Image...

Study on the Technology of Digital Image Processing

Abstract:

The paper aims to study a design and technique of the image processing based on the architecture of embedded system. Aimed at the own characteristic of embedded system, designing a platform been endowed with more operating functions of embedded image processing with versatility. The author adopts the method of the embedded system design based on the basic functions and characteristic of image processing system, summarizing and comparing of the characteristic and new developments of the EOS for the ARM processor, and finally chooses the embedded Linux for the operating system of our platform, also transplant it in the hardware platform. Aimed at the characteristic of Linux device architecture, the author introduces how to develop the image capture and display, memory the data of an image, the programming method of that. Some base arithmetic of image processing, such as image smooth, sharpen, edge detect and so on, and the graphics user interface are developed on the platform with using the Mini GUI, according to the intercommunion between the human and the platform. At last, some key program's code is given.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3555-3558

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3555

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Online since:

November 2014

Authors:

Wen Hui Li

Keywords:

Human Visual System Modeling, Image Process, Image Quality Assessment, Video Quality Assessment

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