Skip to Main Content
Image Processing for Cinema
book

Image Processing for Cinema

by Marcelo Bertalmío
February 2014
Intermediate to advanced content levelIntermediate to advanced
321 pages
10h 26m
English
Chapman and Hall/CRC
Content preview from Image Processing for Cinema
White balance 171
preference φ [0, π) can be modeled with the following PDE [108]:
∂a(r, φ, t)
∂t
= αa(r, φ, t)+µ
Z
π
0
Z
R
2
ω(r, φkr
0
, φ
0
)σ(a(r
0
, φ
0
, t))dr
0
0
+h(r, φ, t),
(7.31)
where α, µ are coupling coefficients, h(r, φ, t) is the external input (visual
stimuli), ω(r, φkr
0
, φ
0
) is a kernel that decays with the differences |rr
0
|, |φφ
0
|
and σ is a sigmoid function. If we ignore the orientation φ and assume that
the input h is constant in time, it can be shown that Equation 7.31 is closely
related to the gradient descent equation of 7.30, where neural activity a plays
the role of image value I, sigmoid function σ behaves as the derivative of
the absolute ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

16mm Film Cutting

16mm Film Cutting

John Burder

Publisher Resources

ISBN: 9781439899274