Conference Publication Details
Mandatory Fields
Shortt, AE;Naughton, TJ;Javidi, B
OPTICAL INFORMATION SYSTEMS
Nonuniform quantization compression of digital holograms of three-dimensional objects using artificial neural networks
2003
January
Published
1
0 ()
Optional Fields
RECONSTRUCTION RECOGNITION
185
191
We propose two lossy data compression techniques for complex-valued digital holograms of three-dimensional objects. The techniques employ unsupervised artificial neural networks to nonuniformly quantize the real and imaginary values of digital holograms. The digital holograms of real-world three-dimensional objects were captured using phase-shift interferometry. Our techniques are compared experimentally with the uniform quantization approach, and with an alternative nonuniform quantization technique based on the k-means clustering algorithm.
Grant Details