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[White Paper] Depth of field, hyperfocal distance, and hyperfocal sequence
Whitepaper
Useful knowledge of optics
The depth of field is the distance between the nearest and the farthest objects in an image that appear acceptably sharp.
This white paper describes, in an easy-to-understand way, the depth of field in relation to the hyperfocal distance and the hyperfocal sequence.
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| Document Title | [White Paper] Depth of field, hyperfocal distance, and hyperfocal sequence |
|---|---|
| Document Type | Whitepaper |
| File size | 511.3Kb |
| Category | |
| Company | Toshiba Teli Corporation (Documents List) |
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Document Contents
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WHITE PAPER
Useful knowledge of optics
Depth of field, hyperfocal distance,
and hyperfocal sequence
April 2022
URL: https://www.toshiba.co.jp/en/
Information contained in this document is subject to change without prior notice.
If you have any questions, please fill out our inquiries form in our web site.
We shall be exempted from taking responsibility and held harmless for damage or losses incurred by the user.
Company name, product name or logo are trademark or registered trademark of each company or organization.
DAA03188B
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Contents
1. Introduction ................................................................................................................ 2
2. Depth of field .............................................................................................................. 2
2.1. What is the depth of field? ........................................................................................ 2
2.2. Permissible circle of confusion versus depth of focus .................................................... 2
2.3. Depth of field and optical magnification ...................................................................... 3
2.4. Calculating the depth of field ..................................................................................... 4
1. Equation using optical magnification................................................................ 4
2. Equation using Newton’s lens formula ............................................................. 5
3. Equation using Gauss' lens formula ................................................................. 6
3. Hyperfocal sequence .................................................................................................... 7
3.1. What is a hyperfocal sequence? ................................................................................. 7
3.2. Obtaining a hyperfocal sequence ............................................................................... 7
4. Hyperfocal sequence .................................................................................................... 8
4.1. What is a hyperfocal sequence? ................................................................................. 8
4.2. Obtaining a hyperfocal sequence ............................................................................... 8
4.3. Example of shooting at infinity .................................................................................. 8
4.4. Example of close-up shooting .................................................................................... 9
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1. Introduction
Many of the readers of this white paper might have had questions before about the depth of
field (DoF) not only when using machine vision systems but also when taking photographs
with ordinary cameras.
The depth of field is the distance between the nearest and the farthest objects in an image
that appear acceptably sharp. You can find information about the depth of field on the
Internet, in off-the-shelf books, and in trade journals. White papers about the depth of field
are also available on our website under the headings Basics of camera lenses: Guidelines for
lens selection and Consideration for depth of field in machine vision. These white papers
discuss the depth of field from a different perspective than the commonly adopted one in
the photography industry.
This white paper describes, in an easy-to-understand way, the depth of field in relation to
the hyperfocal distance and the hyperfocal sequence. Although these lens properties are
closely related to each other, it is difficult to find such information on the Internet.
Therefore, you will find this white paper useful.
2. Depth of field
For a detailed description of the depth of field, see Basics of camera lenses: Guidelines for
lens selection and Consideration for depth of field in machine vision on our website. This
section provides an overview of the depth of field and some added information about it.
2.1. What is the depth of field?
The depth of field is the distance between the nearest and the farthest objects in an
image that appear acceptably sharp.
When you shoot images, you focus a camera on objects at arbitrary distances. The
distance to the nearest point in acceptably sharp focus in front of the best-focused point
is called the front depth of field whereas the distance to the farthest point in acceptably
sharp focus behind the best-focused point is called the rear depth of field. The distance
between these points is the total depth of field.
The depth of field can be calculated as described in the following subsection. However,
objects appear differently, depending on their size and surface characteristics as well as
the optical aberrations of the lens used. Therefore, cameras do not always come into
sharp focus precisely at the calculated threshold; rather, they gradually come into and
out of focus around a threshold.
2.2. Permissible circle of confusion versus depth of focus
The depth of focus refers to the tolerance of placement of an image sensor in relation
to the lens. The depth of focus is the conjugate of the depth of field. Since both the
depth of field and the depth of focus are abbreviated as DoF, they are hereinafter
referred to as DoFi and DoFo respectively for the sake of clarity.
The depth of focus (DoFo) is the distance over which a sensor can be displaced along
the optical axis while an object remains in acceptably sharp focus. DoFo can be
calculated from the permissible circle of confusion (δ) and the effective f-number (Fe).
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2*δ *Fe image sensor
???? = ±? ∙ ?? = 2 ∙ ? ∙ ??
δ
DoFo: Depth of focus
Fe: Effective f-number
δ: Permissible circle of confusion
(abbreviated as CoC)
Lens Best-focused point
Image-side focus
An image of a point source that is not in perfect focus appears as a blur spot called a
circle of confusion (CoC). The size of the smallest spot that an image sensor cannot
recognize as a blur is called the permissible circle of confusion or simply a circle of
confusion.
Even today when digital cameras are the mainstream cameras, the CoC diameters (δ)
commonly referenced on the Internet (e.g., 0.033 mm, or 1/1300th of the image
diagonal) are for images on silver halide films. These values are specified for images
that are printed on a photographic paper of a certain size and viewed at a certain
distance. In machine vision, which processes each pixel of an image sensor at high
brightness levels, the permissible circle of confusion (δ) is calculated based on the pixel
pitch (Ppix) or the diameter of the Airy disk (DAiry) that represents a limit to the optical
resolution of an image created by a lens. In the case of monochrome cameras, the
larger of these values is used as δ. (For color cameras with an on-chip color Bayer array
filter, a value equal to two to three times δ is generally used.)
????? = 2.44 ∙ ? ∙ ?? DAiry: Diameter of the Airy disk
≈ 1.34 ∙ ?? (at ? = 0.55 μm) λ: Wavelength
In order to determine the depth of focus (DoFo) accurately, it is necessary to consider
the optical aberrations of a lens such as an image plane curvature. However, since such
accuracy is generally unnecessary, the depth of focus is calculated based only on
parameters along the optical axis.
The DoFo value obtained by the above equation represents the most stringent case in
terms of accuracy. For actual applications, a more relaxed value can be used as
necessary. (For details, see the white paper Consideration for depth of field in machine
vision from Toshiba Teli.)
2.3. Depth of field and optical magnification
The information available on the Internet states that the depth of field has the following
characteristics:
1. The greater the f-number (i.e., the more the aperture is reduced), the
greater the depth of field.
2. The shorter the focal length (i.e., the wider angle a lens is), the greater the
depth of field.
3. The farther away a subject is, the greater the depth of field.
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4. The rear depth of field is greater than the front depth of field.
These are all true, but this information does not help you determine which lens provides
a greater depth of field because cameras with different sensor sizes require lenses with
different focal lengths to obtain the same angle of view.
Note that the depth of field is related to optical magnification. In the case of machine
vision applications requiring close focusing at relatively high magnification, it would be
safe to consider as follows:
5. Two optical systems provide the same depth of field when their lenses have
the same optical magnification and f-number and their image sensors have
the same pixel pitch.
Remember that the previous subsection mentioned that the depth of focus is the
conjugate of the depth of field. A change in the object-side depth of focus caused by a
displacement of the image plane by half the depth of focus is equal to half the depth of
field. A slight displacement of an image plane causes the object-side focal point to shift
by as much as a change in the image-side depth of focus divided by the longitudinal
magnification of the lens. Because the depth of focus is symmetrical around the image
plane, the depth of field is also symmetrical around the image plane.
However, if the optical magnification of a lens differs greatly at both ends of the depth
of focus, the front and rear depths of field are not equal as described in 3 and 4 above.
Equations for the depth of field are presented in the following subsections. In the case
of machine vision and other applications requiring relatively close focusing, we
recommend using an equation with an optical magnification term. Otherwise, we
recommend using an equation with a subject distance term.
2.4. Calculating the depth of field
This section presents three ways of calculating the depth of field.
1. Equation using optical magnification
Many machine vision applications shoot subjects at close distances (for example, at
a distance of 300 mm). For close-up shooting, the depth of field can be calculated
using optical magnification. The previous subsection explained the depth of field in
relation to longitudinal magnification (α). The following shows an equation for
calculating the depth of field using linear magnification, β (also called lateral or
transverse magnification) since optical magnification generally means linear
magnification. α and β have the following relationship: α=β2.
DoFi /2 DoFi /2
DoFi
DoFo
DoFo: Depth of focus
DoFi: Depth of field
???? = ±? ∙ ?? f: Focal length
???? ? ∙ ? Fe: Effective f-number
?
???? = ± = ± α: Longitudinal optical magnification
? ?
β: Linear optical magnification
? ∙ ??
= ± δ: Diameter of the Airy disk
?2 (abbreviated as CoC)
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2. Equation using Newton’s lens formula
The following shows an equation for calculating the depth of field using the distance
to a subject (x) from the focal point.
Newton’s lens formula uses the front focal point as an origin to measure the distance
to a subject (x). For typical shooting, a point on the opposite side of an image takes
a negative value.
The front depth of field (DoFF) is positive whereas the rear depth of field (DoFR) is
negative. Since the total depth of field represents a distance, it is expressed as an
absolute value.
As effective f-numbers, the values calculated from the optical magnification at the
front and rear depths of focus (FeF and FeR) are used. For general applications, FeF
and FeR can be replaced with the Fe value that is calculated from optical magnification
at a distance to the subject (x).
x f
xR‘
DoFR DoFF xF’
DoFi x’
DoF
o: Depth of focus
DoFi: Depth of field (absolute value)
???? = ???? − ???? DoFF: Front depth of field (positive)
DoFR: Rear depth of field (negative)
? ∙ ??? ∙ ?2 ? ∙ ?? ∙ ?2
???? = ≈ f: Focal length
?2 − ? ∙ ??? ∙ ? ?2 − ? ∙ ?? ∙ ? Fe: Effective f-number at x
FeF: Effective f-number at the front depth of focus
? ∙ ??? ∙ ?2 ? ∙ ?? ∙ ?2
???? = − ≈ − FeR: Effective f-number at the rear depth of focus
?2 + ? ∙ ??? ∙ ? ?2 + ? ∙ ?? ∙ ? δ: Diameter of the Airy disk (abbreviated as CoC)
x: Distance to a subject (from the front focal point)
FeF and FeR are calculated as described below.
f: Focal length
From Newton’s lens formula, the Fe: Effective f-number
lens extension (x’) is expressed Fex: Effective f-number at x(=Fe)
FeF: Effective f-number at the front depth of focus
as follows using the camera-to-
FeR: Effective f-number at the rear depth of focus
subject distance (x): βx: Linear magnification factors at x
?2 βF: Linear magnification factors at the front depth of focus
?′ = − βR: Linear magnification factors at the rear depth of focus
? δ: Diameter of the Airy disk (abbreviated as CoC)
x: Distance to a subject (from the front focal point)
xF: Distance to a subject at the front depth of focus
The lens extensions (xF’ and xR’) (from the front focal point)
at the nearest point of the front xR: Distance to a subject at the rear depth of focus
rear depth of field (DoFF) and the (from the front focal point)
x’: Lens extension
farthest point of the rear depth of xF’: Lens extension at the front depth of focus
field (DoFR) are calculated as xR’: Lens extension at the rear depth of focus
follows using the effective f-
number at x, Fex (denoted as Fe in the above paragraph):
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??? = ?(1 − ??)
?2
??′ = ?′ + ? ∙ ??? = − + ? ∙ ?
? ??
?2
? ′
?′ = ? − ? ∙ ??? = − − ? ∙ ?
? ??
The linear magnification factors (βF and βR) and the effective f-numbers (FeF and FeR)
at xF’ and xR’ are calculated as follows:
?? ′
?? =
?
??′
?? =
?
??? = ?(1 − ??)
??? = ?(1 − ??)
3. Equation using Gauss' lens formula
Gauss’ lens formula (1/(-a)+1/b=1/f ) expresses the depth of field using the
distance to a subject from the principal point.
The subject distance used in Gauss’ lens formula is greater than the one used in
Newton’s lens formula by the focal length of a lens (f). Therefore, the depth of field
can be easily obtained simply by replacing x in Newton’s lens formula with a+f.
The origin of the coordinate system for the subject distance (a) is the front principal
point. For typical shooting, a point on the opposite side of an image takes a negative
value.
a
DoFR DoFF f
DoFi
DoFo
? = ? + ?
???? = ???? − ????
? ∙ ??? ∙ (? + ?)2 ? ∙ ?? ∙ (? + ?)2
???? = ≈
?2 − ? ∙ ??? ∙ (? + ?) ?2 − ? ∙ ?? ∙ (? + ?)
? ∙ ??? ∙ (? + ?)2 ? ∙ ?? ∙ (? + ?)2
???? = − ≈ −
?2 + ? ∙ ??? ∙ (? + ?) ?2 + ? ∙ ?? ∙ (? + ?)
DoFo: Depth of focus
DoFi: Depth of field (absolute value)
DoFF: Front depth of field (positive)
DoFR: Rear depth of field (negative)
f: Focal length
Fe: Effective f-number
δ: Diameter of the Airy disk (abbreviated as CoC)
a: Subject distance (from the front principal point)
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3. Hyperfocal sequence
3.1. What is a hyperfocal sequence?
When a lens is focused on an object at a distance of H, a depth of field extends from infinity
to H/2. In this case, H is called a hyperfocal distance.
INF H(Hyperfocal sequence)
?2
? = − f
? ∙ ? H /2
Range that can be seen in focus Depth of focus
3.2. Obtaining a hyperfocal sequence
When a lens is focused at infinity (x=∞, x’=0), the hyperfocal distance is equal to the front
depth of field as given by the following equation. (Here, we use Newton’s lens formula since
our attention is on the lens extension, x’.)
Optical magnification has not been determined yet when you calculate a hyperfocal
distance. Therefore, we use the f-number (F) at infinity (that is not modified by optical
magnification) instead of the effective f-number (Fe).
? = ∞ H: Hyperfocal sequence
?′ = 0 f: Focal length
′ F: f-number
?? = ?′ − ? ∙ ? = −? ∙ ? (over infinity) δ: Diameter of the Airy disk (abbreviated as CoC)
?? ′ = ?′ + ? ∙ ? = ? ∙ ? x: Distance to a subject (from the front focal point)
xF: Distance to a subject at the front depth of focus
?2 ?2
?? = − = − = ? (from the front focal point)
?? ′ ? ∙ ? xR: Distance to a subject at the rear depth of focus
(from the front focal point)
x’: Lens extension
xF’: Lens extension at the front depth of focus
xR’: Lens extension at the rear depth of focus
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4. Hyperfocal sequence
4.1. What is a hyperfocal sequence?
Depths of focus are arranged as a sequence to show the ranges over which an object
remains in acceptably sharp focus. This sequence is called a hyperfocal sequence (HS) or
consecutive depths of focus.
4.2. Obtaining a hyperfocal sequence
Focusing at H/n (where n is an integer) causes the depth of field to extend from N/(n+1) to
H/(n-1). A hyperfocal sequence is a sequence of N/n:
? ? ? ? ?
HS = (∞),?, , , , ,…, ,…
2 3 4 5 ?
When a lens is focused at H/n, H/(n-1) and H/(n+1) are the rear and front depths of field
respectively.
For example, a lens focused at H holds a depth of field from H/2 to infinity.
As shown in the previous subsection, when a lens is focused at infinity, the rear depth of
field is infinite, going slightly “over infinity,” while the front depth of field is H.
Dividing a hyperfocal distance (H) by an integer (n) means that the focal point shifts along
the optical axis by half the depth of focus (δ*Fe) times n in relation to the lens extension
(x’) at infinity.
?′ = ?′
∞ + ? ∙ ? ∙ ?? x’: Lens extension
?? ′ = ?′
∞ + (? + 1) ∙ ? ∙ ?? xF’: Lens extension at the front depth of focus
xR’: Lens extension at the rear depth of focus
??′ = ?′
∞ + (? − 1) ∙ ? ∙ ?? n: Integer
4.3. Example of shooting at infinity
Nowadays, surveillance cameras in distant-view shooting mode employ image shooting and
processing techniques for machine vision cameras, for example, to synchronize trigger
control with lighting.
Suppose, for example, a wavelength of 550 nm, a camera with a pixel pitch of 3.45 μm, and
an F2 lens with a focal length (f) of 50 mm. Let us calculate consecutive depths of field
under these conditions.
The specifications for the camera and the lens are:
(1) Wavelength: λ=550 nm=0.55 μm
(2) Pixel pitch: PPix=3.45 μm
(3) Focal length: f=50 mm
(4) f-number: F=2
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The permissible circle of confusion (δ) is the larger of the pixel pitch (Ppix) and the diameter
of the Airy disk (DAiry). So, let us calculate DAiry to determine δ:
????? ≈ 1.34 ∙ ?? (at ? = 0.55 μm)
= 1.34 ∙ 2 = 2.68 μm
????? < ????
? = ???? = 3.45 μm=0.00345 mm
Hence, the hyperfocal distance (H) is calculated as:
?2 502
? = − = − = −362,318.8 mm
? ∙ ? 0.00345 ∙ 2
The hyperfocal sequence is a sequence of successive H/n values, where n is an integer. The
following table shows the values of H to H/5.
(The unit of measure is mm. The negative sign that represents a direction is omitted.)
INF H H/2 H/3 H/4 H/5
∞ 362,318.8 181,159.4 120,772.9 90,579.7 72,463.8
When a lens is focused at a hyperfocal distance (H) of about 362.3 m, the depth of field
extends from infinity to H/2. So, the farthest point is infinity, and the nearest point is roughly
181.2 m. When the lens is focused at H/3 (≈120.8 m), the depth of field extends from about
181.2 m to about 90.6 m.
4.4. Example of close-up shooting
Most machine vision applications provide close focusing. The following table shows the
consecutive depths of field for relatively close focusing under the same conditions as above.
H/361 H/362 H/363 H/364 H/365 H/366
1003.653 1000.881 998.124 995.381 992.654 989.942
In this case also, focusing at H/n causes the depth of field to extend from H/(n+1) to H/(n-
1). As you see, close focusing causes the depths of field to become considerably shallower
than infinity focusing.
In the case of close focusing with large optical magnification, the depth-of-field values differ
considerably from the results of the calculation shown in Section 2.4. It is therefore
recommended to consider the above depth-of-field values as rough estimates at an early
stage of system design.
(Reference: Shotaro Yoshida (1997) Lens Science for Photographers. Chijinshokan Co. Ltd.)
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