Omron Corporation

Shanghai Jiao Tong University

Shanghai Composites Science & Technology Co., Ltd

Feng Shen

Masaki Suwa

Jie Tian

Masatoshi Kimachi

Yuming Zhao

Jiapeng Liu

Yanfeng Xiao

Xufeng Hao

Jiang Pan

Xiaolei Wang

Chun Zhuang

Qianli Liu

The present disclosure provides a light-weight flexible high-thermal-conductivity nano-carbon composite film and a method for preparing same. The nano-carbon composite film includes a plurality of composite units laminated sequentially. The composite unit includes flexible adhesive layers and a graphene film layer, and the flexible adhesive layers are disposed on both sides of the graphene film layer. The preparation method includes sequentially laminating the composite units and hot pressing to obtain the nano-carbon composite film. The nano-carbon composite film has the characteristics of high thermal conductivity, light weight and flexibility, and has an in-plane thermal conductivity of up to 500 W/m&#xb7;K or higher, a density of 2.0 g/cmor less, and still a thermal conductivity of 500 W/m&#xb7;K or higher after the nano-carbon composite film is repeatedly bent by 180&#xb0; for 50 times while there is no peeling of graphene from the surface.

Light-weight flexible high-thermal-conductivity nano-carbon composite film and method for preparing same

The present invention provides a digital image processing enhancing system and method with denoising function. The collected digital image is input; the obtained digital image is decomposed into an illumination image and a reflection image, and then the decomposed illumination image and the reflection image is processed, at last, the processed illumination image and the reflection image are composed into an output image, which is output to an output device. The present invention can improve the image quality, remove the noises of the image, remain details features of an object and obtain the natural visual effect.

Digital image processing and enhancing system and method with function of removing noise

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Shanghai, China

Feng Shen