1/f (One-Over-F) Noise (or Related Topics)
in Images
Note that many papers concerning image use "amplitude spectra"
instead of "power spectra". The latter is the square of the
former. So when the amplitude spectrum behaves like 1/f (or 1/k
for speatial frequency), the power spectrum behaves like 1/f2.
2003
-
Rosario M Balboa, Norberto M Grzywacz (2003),
"Power spectra and distribution of contrasts of natural images
from different habitats ",
Vision Research, 43(24):2527-2537.
[ abstract]
2001
-
Rosario M Balboa, Christopher W Tyler, Norberto M Grzywacz (2001)
"Occlusions contribute to scaling in natural images",
Vision Research, 41(7):955-964.
[ abstract]
2000
-
Vincent A. Billock (2000),
"Neural acclimation to 1/f spatial frequency spectra in natural images
transduced by the human visual system",
Physica D, 137(3-4):379-391.
[ abstract]
-
MS Langer (2000),
"Large scale failures of f-a scaling in natural image spectra",
Journal of the Optical Society of America A, 17(1):28-33,
-
CA Parraga, DJ Tolhurst (2000),
"The effect of contrast randomisation on the discrimination of
changes in the slopes of the amplitude spectra of natural scenes",
Perception, 29(9):1101-1116.
-
CA Parraga, T Troscianko, DJ Tolhurst (2000),
"The human visual system is optimised for processing the
spatial information in natural visual images",
Current Biology, 10(1):35-38.
-
DJ Tolhurst, Y Tadmor (2000),
"Discrimination of spectrally blended natural images:
optimisation of the human visual system for encoding natural images",
Perception, 29(9):1087-1100.
-
A Turiel, N Parga (2000),
"Multifractal wavelet filter of natural images",
Physical Review Letters, 85(15):3325-3328.
-
A Turiel, N Parga, DL Ruderman, TW Cronin (2000),
"Multiscaling and information content of natural color images",
Physical Review E, 62(1):1138-1148.
1999
-
SJ Rainville, FA Kingdom (1999),
"Spatial-scale contribution to the detection of mirror
symmetry in fractal noise",
Journal of Optical Soceity of America A, 16(9):2112-2123.
-
MG Thomson (1999),
"Visual coding and the phase structure of natural scenes",
Network, 10(2):123-132.
1997
-
DJ Field, N Brady (1997),
"Visual sensitivity, blur and the sources of variability in
the amplitude spectra of natural scenes",
Vision Research, 37(23):3367-3383.
-
DL Ruderman (1997),
"Origins of scaling in natural images",
Vision Research, 37:3385-3398.
[ abstract]
-
DJ Tolhurst, Y Tadmor (1997),
"Discrimination of changes in the slopes of the
amplitude spectra of natural images: band-limited
contrast and psychometric functions",
Perception, 26(8):1011-1025.
-
MA Webster, E Miyahara (1997),
"Contrast adaptation and the spatial structure of natural
image",
Journal of Optical Society of America A, 14(9):2355-2366.
1996
-
A Schaaf, J Hateren (1996),
"Modelling the power spectra of natural images: statistics
and information",
Vision Research, 28:2759-2770.
[ abstract]
1995
-
DW Dong, JJ Atick (1995),
"Statistics of natural time-varying images",
Network: Computation in Neural Systems, 6(3):345-358.
1994
1993
-
DJ Field (1993),
"Scale-invariance and self-similar 'wavelet' transformations:
an analysis of natural scenes and mammalian visual system",
in Wavelets, Fractals, and Fourier Transforms,
eds. M Farge, J Hunt, JC Vassilicos (Oxford).
-
Y Tadmor, DJ Tolhurst (1993),
"Both the phase and the amplitude spectrum may
determine the appearance of natural images",
Vision Research, 33(1):141-145.
1992
-
DJ Tolhurst, Y Tadmor, T Chao (1992),
"Amplitude spectra of natural images",
Ophthalmic & Physiological Optics, 12(2):229-232.
1987
-
GJ Burton, TR Moorehead (1987),
"Color and spatial structure in natural scenes",
Applied Optics, 26:157-170.
-
DJ Field (1987),
"Relations between the statistics of natural images
and the response properties of cortical cells",
Journal of the Optical Society of America A, 4:2379-2394.
1986
-
T Lundahl, WJ Ohley, SM Kay, R Siffe (1986),
"Fractional Brownian motion: a maximum likelihood
estimator and its application to image texture",
IEEE Transactions on Medical Images, 5(3):152-161.
1978
-
CR Carlson (1978),
"Thresholds for perceived image sharpness",
Photographic Science and Engineering, 22:69-71.