Light Fields (LFs) are easily degraded by noise and low light. Low light LF enhancement
and denoising are more challenging than single image tasks because the epipolar …

In this paper, we tackle the problem of dense light field (LF) reconstruction from sparsely-
sampled ones with wide baselines and propose a learnable model, namely dynamic …

Light Field (LF) imaging enables many attractive applications since scene angular and
spatial information can be captured simultaneously. However, the limited angular resolution …

In light field imaging techniques, the abundance of stereo spatial information aids in
improving the performance of salient object detection. In some complex scenes, however …

In recent years, many deep learning networks are proposed for light field super resolution
(LFSR). LFSR problem is essentially ill-posed since unknown detail information need to be …

In the hybrid lenses Light Field (LF) images, a high-resolution (HR) camera is in the center of
the multiple low-resolution (LR) cameras, which introduces the beneficial high-frequency …

We propose a computational imaging method for time-efficient light-field acquisition that
combines a coded aperture with an event-based camera. Different from the conventional …

Owing to constant convolutional kernels in trained network, conventional enhancer for low-
light image can only generate enhanced image with an invariable level of brightness. To …

摘要光场图像包含丰富的空间信息和角度信息, 在三维重建, 虚拟现实领域有广泛应用.
但由于光场相机的内部限制, 光场图像的低空间分辨率阻碍了其应用发展, 具体表现为图像边缘 …

Existing image-based rendering methods usually adopt depth-based image warping
operation to synthesize novel views. In this paper, we reason the essential limitations of the …