Modeling standard plenoptic camera by an equivalent camera array

To render camera array images use this. Seahorse5x5 is an example scene.

Example usage

from LFProcess import *
#loading and generating 4D light field
sceneName='seahorse5x5'
lf = LF(sceneName)
lf.storeLf(1000000)
lf.loadLf()
print(lf.lf.shape)

# Center view
myAif = lf.allInFocusImage()

# Depth of field Image
myDofOrg = lf.depthOfFieldImage(lf.aperture,False)

fig = plt.figure()
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
RGBmyAif = cv2.cvtColor(myAif.astype(np.uint8), cv2.COLOR_BGR2RGB)
RGBmyDOF = cv2.cvtColor(myDofOrg.astype(np.uint8), cv2.COLOR_BGR2RGB)
ax1.imshow(RGBmyAif)
ax1.axis('off')
ax2.imshow(RGBmyDOF)
ax2.axis('off')
plt.show()

# Refocusing with alpha = -0.4
lf.refocus(-.4)

# Depth of field of the refocused LF
myDof = lf.depthOfFieldImage(lf.aperture,True)

plt.imshow(cv2.cvtColor(myDof.astype(np.uint8), cv2.COLOR_BGR2RGB))
plt.show()

This simple code is based on the work of Eisa Hedayati. If you used this code please cite our paper "Modeling standard plenoptic camera by an equivalent camera array"

@article{10.1117/1.OE.59.7.073101, author = {Eisa Hedayati and Jeremy P. Bos}, title = {{Modeling standard plenoptic camera by an equivalent camera array}}, volume = {59}, journal = {Optical Engineering}, number = {7}, publisher = {SPIE}, pages = {1 -- 14}, keywords = {light fields, plenoptic imaging, image processing, scene rendering, virtual reality, augmented reality}, year = {2020}, doi = {10.1117/1.OE.59.7.073101}, URL = {https://doi.org/10.1117/1.OE.59.7.073101} }

@inproceedings{hedayati2018simulation, title={Simulation of light fields captured by a plenoptic camera using an equivalent camera array}, author={Hedayati, Eisa and Bos, Jeremy P}, booktitle={Laser Communication and Propagation through the Atmosphere and Oceans VII}, volume={10770}, pages={107700R}, year={2018}, organization={International Society for Optics and Photonics} }