Titlebook: Digital Multimedia Communications; 19th International F Guangtao Zhai,Jun Zhou,Jia Wang Conference proceedings 2023 The Editor(s) (if appli

人類的發(fā)源

River Turbidity Monitoring Based on?Semi-supervised Transfer Learningf the existing monitoring methods rely on turbidity labels measured by river water quality monitoring stations. However, due to the limitation of spatial distribution of water quality monitoring stations, those turbidity data outside the monitoring range are difficult to obtain and the correlation o

亞當(dāng)心理陰影

盤旋

Venules

agnostic

Bit-Depth Enhancement with?Distortion Sensitivityepth enhancement (BDE) methods. Despite the recent progress, current BDE works cannot entirely remove false contours and color shifts as they focus on the overall image quality while leaving these visually sensitive distorted regions uncared. Thus, in this paper, we propose a bit-depth enhancement a

燒瓶

investigate

Generative Model Watermarking Based on?Human Visual Systemwatermarking to generative models for image processing. However, the existing watermarking methods designed for generative models do not take into account the effects of different channels of sample images on watermarking. As a result, the watermarking performance is still limited. To tackle this pr

indifferent

Feature Adaptation Predictive Coding for Quantized Block Compressive Sensing of COVID-19 X-Ray Imagemportant role when remotely acquiring the chest X-ray images of COVID-19 infected people and significantly promoting the portable telemedicine imaging applications. In order to improve the encoding performance of quantized block compressive sensing, a feature adaptation predictive coding (FAPC) meth

CORE

領(lǐng)先