11:10 〜 11:30
[VHF3-2] Image Compression and Restoration Using Deep Learning Considering Spatial Frequency Characteristics of the Visual System
Image coding, JPEG, U-Net, CNN, Visual system
This paper proposes image compression and restoration techniques that consider the visual characteristics of humans with respect to the spatial frequency. The method reduces information with low visual sensitivity, encodes and decodes by JPEG, and restores the high-quality image using U-Net. The feasibility of the method was verified experimentally.