Color laparoscopic high-definition video quality assessment for super-resolution

Author:

Kawabata Norifumi,Nakaguchi Toshiya

Publisher

SPIE

Reference18 articles.

1. N. Kawabata and T. Nakaguchi: “Color Laparoscopic Image Diagnosis for Automatic Detection of Coded Defect Region,” Proc. of the 5th Asia Color Association Conference (ACA2019 Nagoya), P1-25, pp.487–492, Nagoya, Japan, November – December 2019.

2. N. Kawabata and T. Nakaguchi: “Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions,” Proc. of the Tenth International Workshop on Image Media Quality and its Applications (IMQA2020), PS2-4, 6 pages, Taipei, Taiwan, March 2020.

3. Color Laparoscopic Image Region Segmentation after Contrast Enhancement Including SRCNN by Image Regions;Kawabata;Proc. of SPIE (The International Forum on Medical Imaging in Asia,2021

4. Adaptive Scalable Video Coding: An HEVC-Based Framework Combining the Predictive and Distributed Paradigms

5. IEEE Transactions on Circuits and Systems for Video Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Design of Color Laparoscopic Super-Resolution Image Quality Based on Generative Adversarial Networks;2023 International Conference on Computer Graphics and Image Processing (CGIP);2023-01

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