Abstract:

Typical real time image processing applications require a huge amount of processing power, computing ability and large resources to perform the image processing applications. The limitations appear on image processing systems due to the volumetric data of image to be processed. This challenge is more dominant when coming to process the image processing applications parallely. Parallel processing appears to be the only solution to attain higher speed of operation at real time resource constraints. The nature of processing in typical image processing algorithms ranges from large arithmetic operations to fewer one. Although the existing parallel computing systems provide to some extent parallelism for image processes but fails to support image processing operations varying at a large rate. As part of my thesis, this paper presents an Implementation of Image Processing Operations Using Simultaneous Multithreading and Processing Buffer by bifurcating the operation of parallelism and the results are simulated in a standard LAN environment.

Keywords: Processing Buffer, Simultaneous multithreading, SIMD, MIMD

Author Biography:

	K.Manjunathachari, Associate Prof. Department of  Electronics and Communication, G.Pulla Reddy Engineering College, Kurnool, A.P.India, Pursuing PhD in Parallel Image Processing from JawaharLal Technological University, Hyderabad, India. His Research interest include: Image Processing and Compression, Parallel Processing
	Dr.K.SatyaPrasad, Presently Principal and Professor in Electronics and Communication, JawaharLal Technological University Of Engineering, Kakinada, A ’P, India..

BibTex:

@ARTICLE{P1150634005,

AUTHOR = {A.K.Manjunathachari and K.SatyaPrasad},

TITLE = {Implementation of Image Processing Operations Using Simultaneous Multithreading and Buffer Processing},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing},

}

(Full Paper 597KB)