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research-article

Synergy between Semantic Segmentation and Image Denoising via Alternate Boosting

Authors:

Zheng-Jun ZhaAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 19, Issue 2

Article No.: 69, Pages 1 - 23

https://doi.org/10.1145/3548459

Published: 06 February 2023 Publication History

Abstract

The capability of image semantic segmentation may be deteriorated due to the noisy input image, where image denoising prior to segmentation may help. Both image denoising and semantic segmentation have been developed significantly with the advance of deep learning. In this work, we are interested in the synergy between these two tasks by using a holistic deep model. We observe that not only denoising helps combat the drop of segmentation accuracy due to the noisy input, but also pixel-wise semantic information boosts the capability of denoising. We then propose a boosting network to perform denoising and segmentation alternately. The proposed network is composed of multiple segmentation and denoising blocks (SDBs), each of which estimates a semantic map and then uses the map to regularize denoising. Experimental results show that the denoised image quality is improved substantially and the segmentation accuracy is improved to close to that on clean images, and segmentation and denoising are both boosted as the number of SDBs increases. On the Cityscapes dataset, using three SDBs improves the denoising quality to 34.42 dB in PSNR, and the segmentation accuracy to 66.5 in mIoU, when the additive white Gaussian noise level is 50.

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https://dl.acm.org/doi/10.1007/s11227-024-06732-3
Zhang DZhang MTan XLiu J(2024)Bridging the Domain Gap in Scene Flow Estimation via Hierarchical Smoothness RefinementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/366182320:8(1-21)Online publication date: 12-Jun-2024
https://dl.acm.org/doi/10.1145/3661823
Zhang HLiu MQi YYang NHu SNie LZhang W(2024)Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional NetworkACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365371520:7(1-19)Online publication date: 16-May-2024
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Index Terms

Synergy between Semantic Segmentation and Image Denoising via Alternate Boosting
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 19, Issue 2

March 2023

540 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3572860

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 06 February 2023

Online AM: 14 July 2022

Accepted: 07 July 2022

Revised: 02 June 2022

Received: 13 December 2021

Published in TOMM Volume 19, Issue 2

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Cited By

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https://dl.acm.org/doi/10.1007/s11227-024-06732-3
Zhang DZhang MTan XLiu J(2024)Bridging the Domain Gap in Scene Flow Estimation via Hierarchical Smoothness RefinementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/366182320:8(1-21)Online publication date: 12-Jun-2024
https://dl.acm.org/doi/10.1145/3661823
Zhang HLiu MQi YYang NHu SNie LZhang W(2024)Efficient Brain Tumor Segmentation with Lightweight Separable Spatial Convolutional NetworkACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365371520:7(1-19)Online publication date: 16-May-2024
https://dl.acm.org/doi/10.1145/3653715
Deng MZhang WZhao JWang ZZhou MLuo JChen C(2024)A Novel Framework for Joint Learning of City Region Partition and RepresentationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365285720:7(1-23)Online publication date: 16-May-2024
https://dl.acm.org/doi/10.1145/3652857
Chen HYu YDong YLu ZLi YZhang Z(2024)Multi-Content Interaction Network for Few-Shot SegmentationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/364385020:6(1-20)Online publication date: 8-Mar-2024
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Wang ZLi JChen YShou JDeng SHuang WXiong Z(2024)Joint EM Image Denoising and Segmentation with Instance-Aware InteractionMedical Image Computing and Computer Assisted Intervention – MICCAI 202410.1007/978-3-031-72104-5_39(403-413)Online publication date: 7-Oct-2024
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Zeng XChen SXie YLiao T(2023)3V3D: Three-View Contextual Cross-slice Difference Three-dimensional Medical Image Segmentation Adversarial NetworkACM Transactions on Multimedia Computing, Communications, and Applications10.1145/359261419:6(1-28)Online publication date: 12-Jul-2023
https://dl.acm.org/doi/10.1145/3592614

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