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Analysis on Image Compression for Multimedia Communication Using Hybrid of DWT and DCT

  • 2023
  • OriginalPaper
  • Chapter
Published in:
Authors
Aamir Junaid Ahmad
Syed Danish Hassan
Rahul Priyadarshi
Vijay Nath
Published in
Microelectronics, Communication Systems, Machine Learning and Internet of Things
Publisher
Springer Nature Singapore

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Abstract

The chapter delves into the challenges and limitations of existing image compression techniques, particularly DCT and DWT. It presents a hybrid approach that combines the strengths of both methods, aiming to enhance compression efficiency and reconstruct images with higher fidelity. The study reviews relevant literature, outlining previous research on hybrid compression techniques and their performance. It then delves into the methodology, detailing the processes of DWT and DCT, and how they are integrated to form a hybrid algorithm. The results and discussion section highlights the superior performance of the hybrid method, showing significant improvements in Peak Signal-to-Noise Ratio (PSNR) compared to standalone DCT and DWT techniques. The conclusion underscores the potential of the hybrid approach in advancing multimedia communication by providing higher quality image compression.
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Title
Analysis on Image Compression for Multimedia Communication Using Hybrid of DWT and DCT
Authors
Aamir Junaid Ahmad
Syed Danish Hassan
Rahul Priyadarshi
Vijay Nath
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Microelectronics, Communication Systems, Machine Learning and Internet of Things

Print ISBN: 978-981-19-1905-3

Electronic ISBN: 978-981-19-1906-0

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-1906-0_54
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