The information capacities of two-dimensional optical low-pass channels are discussed. Coherent and incoherent systems operating under finite optical power and area constraints are characterized in terms of two criteria:spacebandwidth product (SBP; the number of pixels required for achieving maximum information capacity) and resolution (G(min); the smallest spot size capable of supporting positive capacity gain). A coherent system operating with an initial signal-to-noise ratio (SNR) of 5 can achieve a 48% capacity gain by operating at an optimal SBP that is 3.4 times that of the nominal system. The same system has a resolution that is 0.31 times nominal. Incoherent systems experience additional SNR loss, and with an initial SNR of 5 they achieve capacity gains of 29% at the optimal SBP of 2.8 times nominal. The incoherent system resolution is found to be 0.4 times nominal.
[1]
Sergio Benedetto,et al.
Guest Editorial Concatenated Coding Techniques And Iterative Decoding: Sailing Toward Channel Capacity
,
1998
.
[2]
Thomas S. Huang,et al.
Picture Processing and Digital Filtering
,
1981,
IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3]
Thomas M. Cover,et al.
Elements of Information Theory
,
2005
.
[4]
Henri Pieron.
Nomenclature of Retinal Ganglion Cells
,
1961
.
[5]
J. Goodman.
Introduction to Fourier optics
,
1969
.
[6]
V. Ronchi.
Resolving Power of Calculated and Detected Images
,
1961
.
[7]
Adriaan van den Bos,et al.
Resolution: a survey
,
1997
.