Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...
Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
Developers and business people need to better understand the legal implications of generative AI, a new study from Stanford University urges. That's because a wave of court cases may be coming, and ...
Abstract: Stereo image compression (SIC) aims to simultaneously compress a pair of left and right stereoscopic images, which can achieve higher compression efficiency than single image compression. In ...
A developer named Dominic Szablewski has given the world a new file format with a splendid name: the Quite OK Image Format (QOI). The file format might be better than that. Szablewski explained that ...
Trinh Man Hoang, Jinjia Zhou, Yibo Fan. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 619-623. The code is built on DSSLIC & PSPNet ...
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