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2023 | OriginalPaper | Chapter

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

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

Image compression is a technique to compress information that converts the original image with limited bits and reconstructs it with some distortion. This compression leads to native disc memory saving; conjointly, it helps in speedy multimedia system files transfer. This analysis presents a projected technique for the compression of multimedia system pictures victimization hybrid compression technique (discrete trigonometric function remodel and separate moving ridge transform). DWT and DCT Area unit applied initial on individual RGB parts. Once applying this, image is amount for every distinctive amount. Therefore, on verifying the distinctive code for every distinctive image for his or her cryptography, the standard of the new image compression technique is evaluated victimization the height signal to noise magnitude relation (PSNR) through simulations victimization MATLAB. The simulation results show that the projected JPEG codec delivers increased performance over the standard JPEG code in terms of PSNR.

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