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Article Information:
Optimization of Memory Management in Image Processing using Pipelining Technique
P.S. Ramesh and S. Letitia
Corresponding Author: P.S. Ramesh
Submitted: July 14, 2014
Accepted: September 25, 2014
Published: February 05, 2015 |
Abstract:
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The quality of the image is mainly based on the various phenomena which generally consume lots of memory that needs to be resolved addressed. The handling of the memory is mainly affected due to disorderly arranged pixels in an image. This may lead to salt and pepper noise which will affect the quality of the image. The aim of this study is to remove the salt and pepper noise which is most crucial in image processing fields. In this study, we proposed a technique which combines adaptive mean filtering technique and wavelet transform technique based on pipeline processing to remove intensity spikes from the image and then both Otsu’s and Clahe algorithms are used to enhance the image. The implemented framework produces good results and proves against salt and pepper noise using PSNR algorithm.
Key words: Adaptive filter, image processing, pipeline, wavelet transform, , ,
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Abstract
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Cite this Reference:
P.S. Ramesh and S. Letitia, . Optimization of Memory Management in Image Processing using Pipelining Technique. Research Journal of Applied Sciences, Engineering and Technology, (4): 239-244.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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