Related Experiment Video
Updated: Jul 14, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
Published on: March 6, 2013
Image quality improvement for a hybrid compressive light field display based on gradient descent with a mixed loss
Abstract:
The multi-layer compressive light field (CLF) three-dimensional (3D) display suffers from image artifacts due to layer misalignment. In this paper, we propose to reduce the image artifacts by improving the intensity distribution uniformity of the layer images. To achieve this, a global optimization algorithm based on gradient descent (GD) is proposed. To further improve the image quality, a mixed loss function combining both subjective and objective losses is proposed for the optimization. By applying the subjective loss to enhance the perceptual quality, the 3D image details could be reconstructed better. The experimental results demonstrate that the proposed method significantly reduces artifacts and improves image quality compared to the conventional method.
Related Concept Videos
Gradient and Del Operator
Reducing Line Loss
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Design Example: Aggregate Gradation
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is sampled...
Gradient Vectors and Their Applications
Maximizing the Directional Derivative
Gradient Fields

