Histogram approaches for lossy compression of digital holograms of three-dimensional objects.
We present a novel nonuniform quantization compression technique-histogram quantization-for digital holograms of 3-D real-world objects. We exploit a priori knowledge of the distribution of the values in our data. We compare this technique to another histogram based approach: a modified version of Max's algorithm that has been adapted in a straight-forward manner to complex-valued 2-D signals. We conclude the compression procedure by applying lossless techniques to our quantized data. We demonstrate improvements over previous results obtained by applying uniform and nonuniform quantization techniques to the hologram data.
Shortt
Alison E
AE
Department of Computer Science, National University of Ireland, Maynooth, Ireland. ashortt@cs.nuim.ie
Naughton
Thomas J
TJ
Javidi
Bahram
B
D000465:Algorithms; D016477:Artifacts; D003196:Computer Graphics; D044962:Data Compression / Q000379:methods*; D003627:Data Interpretation, Statistical; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D012815:Signal Processing, Computer-Assisted