We present a new method for reconstructing a 4D light field from a random set of measurements. A 4D light field block can be represented by a sparse model in the Fourier …
The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging …
Y Yagi, K Takahashi, T Fujii, T Sonoda… - … on Information and …, 2018 - search.ieice.org
A light field, which is often understood as a set of dense multi-view images, has been utilized in various 2D/3D applications. Efficient light field acquisition using a coded aperture camera …
J Su, W Yin, Y Shi, J Wang… - 2018 25th IEEE …, 2018 - ieeexplore.ieee.org
Compressive light field sensing can recover the light field images with a large number of angular views from only a few acquisitions. Conventional reconstruction methods of light …
L Chen, Z Zhou, N Xi, R Yang, B Song… - SENSORS, 2014 …, 2014 - ieeexplore.ieee.org
Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength …
We present a Bayesian approach for 3D image reconstruction of an extended object imaged with multi-focus microscopy (MFM). MFM simultaneously captures multiple sub-images of …
This paper considers the compressive sensing framework as a way of overcoming the spatio- angular trade-off inherent to light field acquisition devices. We present a novel method to …
Y Wang, J Zhang - Multimedia Tools and Applications, 2020 - Springer
How to capture the high quality light field photography was one of important issue in computational photography. In fact, light field could be captured directly for all views or …