JOURNAL ARTICLE

MULTISPECTRAL IMAGE COMPRESSION USING DISCRETE COSINE TRANSFORM

Dr.H S Prashantha

Year: 2020 Journal:   International Journal of Engineering Applied Sciences and Technology Vol: 5 (3)Pages: 266-270   Publisher: IJEAST

Abstract

Compression plays a key role in reducing transmission and storage requirements.Compression of Multispectral data is important as it demands lots of memory space for storage.In the present work, the paper proposes transform coding techniques such as different Discrete Wavelet Transform (DWT) for compressing the multispectral data.The transform coding techniques are applied for multispectral input data and are compared with respect to Compression Ratio (CR) and Peak Signal to Noise Ratio (PSNR).The technique proposed is implemented individually on various bands of multispectral image.

Keywords:
Discrete cosine transform Multispectral image Artificial intelligence Computer vision Image compression Computer science Image (mathematics) Compression (physics) Lapped transform Transform coding Image processing Materials science

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Refs
0.40
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Citation History

Topics

Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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