Low power high speed FPGA design of lossless medical image compression using optimal deep neural network-Reference-Cited by-同舟云学术

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Low power high speed FPGA design of lossless medical image compression using optimal deep neural network

Published:2023-10-09 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sharma Sanjeev

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16958-7.pdf

Reference36 articles.

1. Deepu CJ, Lian Y (2014) A joint QRS detection and data compression scheme for wearable sensors. IEEE Trans Biomed Eng 62(1):165–175

2. Dutta T (2014) Medical data compression and transmission in wireless ad hoc networks. IEEE Sens J 15(2):778–786

3. Fang L, Li S, Kang X, Izatt JA, Farsiu S (2015) 3-D adaptive sparsity based image compression with applications to optical coherence tomography. IEEE Trans Med Imaging 34(6):1306–1320

4. Chen Z, Basarab A, Kouamé D (2016) Reconstruction of enhanced ultrasound images from compressed measurements using simultaneous direction method of multipliers. IEEE Trans Ultrason Ferroelectr Freq Control 63(10):1525–1534

5. Heindel A, Wige E, Kaup A (2016) Low-complexity enhancement layer compression for scalable lossless video coding based on HEVC. IEEE Trans Circuits Syst Video Technol 27(8):1749–1760

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