At first, it may be difficult to wrap your head around a 3D array. After all, visualizing in 3D can be challenging. However, it is best to view an image as a matrix of pixels, where the third ...

Abstract: Computational complexity with the coding efficiency of any hyperspectral image sensor is a challenging issue. 3D-SPIHT has reasonable complexity and generates an embedded bit-stream. Due to ...

TFRecord converter for numpy array data (e.g. 3D images for medical image processing) numpy3d_to_tfrecords.py contains code for a TFRecords writer for Numpy array data specifically for 3D arrays with ...

576 Objectives: As PET suffers from low resolution and high noise, numerous efforts try to incorporate anatomical priors into PET image reconstruction. In this work, we proposed a novel 3D structural ...

Since I had a lot of fun with this project and because I love open-source code, I figured I'd publish all the source code I wrote to generate the 3D printed model and make a writeup of how I designed ...

In order to see the resulting 3D image of the object – an amalgamation of all the elemental images – another lenslet array is placed over the phone's screen.

Effective compression technology is required to reduce the huge amount of information for integral three-dimensional (3D) television. For compressing an integral 3D image, we propose a compression ...