A Multi-Pixel Compression for Low-Power Imaging System and Architecture-Reference-Cited by-同舟云学术

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A Multi-Pixel Compression for Low-Power Imaging System and Architecture

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Lee Wonseok¹,Lim Kyeongjong¹,Cheon Jeonghyeon¹,Jeong Soyi¹,Lim Jinyeon¹,Cho Youngsung¹,Ishikawa Shusaku¹,Jo Seongwon¹,Song Seongwook¹,Kang Minsu¹,Kim Kyungil¹,Lim Seunghyun¹,Kim Youngjin¹,Choi Sunghoo¹,Kyoung Jungchan¹

Affiliation:

1. Samsung Electronics,Sytem LSI Business,Hawseong,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181603.pdf?arnumber=10181603

Reference24 articles.

1. Learning Convolutional Networks for Content-Weighted Image Compression

2. iWave: CNN-Based Wavelet-Like Transform for Image Compression

3. Deep learning model for real-time image compression in Internet of Underwater Things (IoUT)

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