Focal stack image compression based on basis-quadtree representation
In this paper, we propose an efficient compression scheme for focal stack images (FoSIs)
based on a new basis-quadtree representation. In the new basis-quadtree representation …
based on a new basis-quadtree representation. In the new basis-quadtree representation …
Ams-net: Adaptive multi-scale network for image compressive sensing
Recently, deep convolutional neural networks have been applied to image compressive
sensing (CS) to improve reconstruction quality while reducing computation cost. Existing …
sensing (CS) to improve reconstruction quality while reducing computation cost. Existing …
Gaussian-wiener representation and hierarchical coding scheme for focal stack images
Focal stack images (FoSIs) are a set of 2D images that captured one scene with serial focal
depths. The redundancies of FoSIs mainly come from gradual focused depths changes …
depths. The redundancies of FoSIs mainly come from gradual focused depths changes …
When Channel Correlation Meets Sparse Prior: Keeping Interpretability in Image Compressive Sensing
Image compressive sensing (CS), recovering an unknown image by resorting to a small
number of its measurements, has become an increasingly popular topic in multimedia …
number of its measurements, has become an increasingly popular topic in multimedia …
A High-Quality Adaptive Video Reconstruction Optimization Method Based on Compressed Sensing.
Y Zhang, Y He, J Zhang, Y Zhao… - … in Engineering & …, 2023 - search.ebscohost.com
The video compression sensing method based onmulti hypothesis has attracted extensive
attention in the research of video codec with limited resources. However, the formation of …
attention in the research of video codec with limited resources. However, the formation of …
A High-Quality Video Reconstruction Optimization System Based on Compressed Sensing
Y Zhang, Y He, J Zhang, Z Cui, X Cai - International Symposium on …, 2023 - Springer
The video compression sensing method based on multi hypothesis has attracted extensive
attention in the research of video codec with limited resources. However, the formation of …
attention in the research of video codec with limited resources. However, the formation of …
Motion-adaptive adjacent-reference skipping for distributed video compressive sensing with general decoders
W Yuan, H Liu - Optoelectronics Letters, 2022 - Springer
On an internet of video things (IoVT), an encoder needs to collect a large number of signal
samples to improve the reconstruction quality. It is challenging to some occasions where the …
samples to improve the reconstruction quality. It is challenging to some occasions where the …
Iterative Progressive-hypothesis Prediction for Forward Interframe Reconstruction of Video Compressive Sensing
H Liu, R Sun - 2022 IEEE 24th International Workshop on …, 2022 - ieeexplore.ieee.org
For the forward interframe reconstruction of video compressive sensing, the existing
algorithms derive their residual sparse models by multihypothesis prediction from a forward …
algorithms derive their residual sparse models by multihypothesis prediction from a forward …