2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSS-IVC-DL.2
Paper Title DEFENDING AGAINST NOISE BY CHARACTERIZING THE RATE-DISTORTION FUNCTIONS IN END-TO-END NOISY IMAGE COMPRESSION
Authors Binzhe Li, Shurun Wang, Shiqi Wang, City University of Hong Kong, Hong Kong SAR of China
SessionSS-IVC-DL: Special Session: Optimized Image and Video Coding Using Deep Learning
LocationArea B
Session Time:Wednesday, 22 September, 08:00 - 09:30
Presentation Time:Wednesday, 22 September, 08:00 - 09:30
Presentation Poster
Topic Special Sessions: Optimized image and video coding schemes using deep learning
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract There has been an increasing consensus that precise understanding of the rate-distortion (RD) characteristics plays a critical role in image and video coding. In this paper, we explore the RD behaviors of end-to-end image compression in the real-world application scenario that the images could be corrupted by noise at different levels. With the RD behaviors that all images share, we develop a deep learning driven pre-analytical model which fully exploits the properties of RD functions and allows us to improve the quality with economized coding bits. The proposed approach does not require any prior knowledge of the noise level, and could effectively defend against the noise through the end-to-end compression. Extensive experimental results show that the proposed scheme offers the best promise in predicting RD behaviors, and naturally avoids the unnecessary bits consumption.