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Abstract
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Article Information:
Review Article: An Overview of Image Compression Techniques
M. Marimuthu, R. Muthaiah and P. Swaminathan
Corresponding Author: M. Marimuthu
Submitted: March 18, 2012
Accepted: April 14, 2012
Published: December 15, 2012 |
Abstract:
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To store an image, large quantities of digital data are required. Due to limited bandwidth, image must
be compressed before transmission. However, image compression reduces the image fidelity, when an image
is compressed at low bitrates. Hence, the compressed images suffer from block artifacts. To meet this, several
compression schemes have been developed in image processing. This study presents an overview of
compression techniques for image applications. It covers the lossy and lossless compression algorithm used
for still image and other applications. The focus of this article is based on the overview of VLSI DCT
architecture for image compression. Further, this new approach may provide better results.
Key words: Discrete Cosine Transform architecture (DCT) , Discrete Wavelet Transforms (DWT), fractal compression, Genetic Algorithm (GA), reversible integer discrete cosine transform , vector quantization,
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Cite this Reference:
M. Marimuthu, R. Muthaiah and P. Swaminathan, . Review Article: An Overview of Image Compression Techniques. Research Journal of Applied Sciences, Engineering and Technology, (24): 5381-5386.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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