Image data compression using Discrete Cosine Transform technique for wireless transmission
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Universiti Malaysia Perlis (UniMAP)
2022
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my.unimap-750372022-04-22T03:19:59Z Image data compression using Discrete Cosine Transform technique for wireless transmission M. H., Haron M. N., Isa M. I., Ahmad R. C., Ismail N., Ahmad nazrin@unimap.edu.my Long-range network Discrete Cosine Transform Fast Fourier Transform Compression technique Wireless Sensor Network Link to publisher's homepage at http://ijneam.unimap.edu.my Telemetry data transfer over long-range wireless network for internet of things-based applications presently gaining popularity and this trend continuous in the era of Industrial Revolution (IR 4.0). However, transmitting larger amount of data such as images is a challenging task and requires further attention and research. Moreover, transmitting data over open agricultural area requires this capability to collect field data for further research and analysis. This work aims to propose a suitable image compression technique and recommends for the best compression ratio as to address the aforementioned issue. Discrete Cosine Transform (DCT) is a well-known lossy-based image compression technique, which has been explored along with another compression algorithm known as Fast Fourier Transform (FFT). Comparison between the two most widely used compression algorithms was analyzed and discussed. In this paper, golden apple snail images are acquired from various databases which include the mature snail, adult female laying eggs, snail pink eggs on stem and snails in the water. A MATLAB code is written to implement both algorithms with input images from the database is tested on the developed algorithm. Simulation results have shown that the input images can be compressed with a different value of compression ratio (CR) ranging from 3.00 to 50.00. Other than that, it is noted that the quality of the compression ratio is 49.04 with Mean Square Error (MSE) of 172.72 and Peak Signal to Noise Ratio (PSNR) of 25.75. 2022-04-22T03:19:58Z 2022-04-22T03:19:58Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 289-297 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75037 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP) |
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Long-range network Discrete Cosine Transform Fast Fourier Transform Compression technique Wireless Sensor Network |
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Long-range network Discrete Cosine Transform Fast Fourier Transform Compression technique Wireless Sensor Network M. H., Haron M. N., Isa M. I., Ahmad R. C., Ismail N., Ahmad Image data compression using Discrete Cosine Transform technique for wireless transmission |
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Link to publisher's homepage at http://ijneam.unimap.edu.my |
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nazrin@unimap.edu.my |
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nazrin@unimap.edu.my M. H., Haron M. N., Isa M. I., Ahmad R. C., Ismail N., Ahmad |
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M. H., Haron M. N., Isa M. I., Ahmad R. C., Ismail N., Ahmad |
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M. H., Haron |
title |
Image data compression using Discrete Cosine Transform technique for wireless transmission |
title_short |
Image data compression using Discrete Cosine Transform technique for wireless transmission |
title_full |
Image data compression using Discrete Cosine Transform technique for wireless transmission |
title_fullStr |
Image data compression using Discrete Cosine Transform technique for wireless transmission |
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Image data compression using Discrete Cosine Transform technique for wireless transmission |
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image data compression using discrete cosine transform technique for wireless transmission |
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Universiti Malaysia Perlis (UniMAP) |
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2022 |
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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75037 |
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1738511703582179328 |