Optimized rational phase mask to extend the depth of field in imaging systems

In recent years, wavefront coding is well known as a powerful technique which

can be employed to extend the depth of field of an imaging system. Wavefront

coding is a hybrid imaging technique and it includes two parts: the optics and the

digital processing step. By placing a phase mask in the exit pupil plane, the

modulation transfer function (MTF) or the point spread function (PSF) reduces

sensitivity to defocus error. Then, middle images which are captured by a detector

are the same blurred images to defocus error and become sharp and clear after

using a simple deconvolution filter to decode them in the digital processing step.

Conversely, in traditional imaging systems, the aim of the optics is to result in an

imaging as sharp and clear as possible. After that, the image might be

postprocessed to reveal information that are relevant to a specific application.

However, the optimizations of the optics and the postprocessing are implemented

separately. Moreover, in comparison between the wavefront coding system and

traditional imaging system under the impact of defocus, the MTF of an wavefront

coding system is lower than that of traditional imaging system. It introduces no

zeros in the MTF of an wavefront coding system. Therefore, all frequencies can be

restored to near diffraction-limited performance.

In wavefront coding system, there are two parts which are designed together.

However, the most important part of wavefront coding system lies in the design of

suitable phase masks to obtain the defocus invariant characteristics. As a result,

many researchers keep focusing on the development of this technique in term of

phase masks. So far, many kinds of odd asymmetrical phase masks to increase the

depth extension, such as cubic phase mask [1], logarithmic phase mask [2-5],

exponential phase mask [6], sinusoidal phase mask, [7, 8], polynomial phase mask

[9], free-form phase mask [10], rational phase mask [11], tangent phase mask [12],

and high-order phase mask [13], have been reported. All these phase masks can

achieve the goal of the depth of field extension.

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Optimized rational phase mask to extend the depth of field in imaging systems
Nghiên cứu khoa học công nghệ 
Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san Viện Điện tử, 9 - 2020 41 
OPTIMIZED RATIONAL PHASE MASK TO EXTEND 
THE DEPTH OF FIELD IN IMAGING SYSTEMS 
Nguyen Phuong Nam
1*
, Le Van Nhu
2
Abstract: Wavefront coding technique includes the optics and the digital 
processing step to the final high-quality images. One of the most important parts of 
wavefront coding technique is the design of a suitable phase mask to obtain the 
defocus invariant characteristics. In this paper, we proposed a simple rational 
phase mask with two mask parameters to extend the depth of field. A series of 
performance comparison between the proposed phase mask with the cubic, 
logarithmic, sinusoidal, and exponential phase mask is presented. The simulation 
results demonstrated that the proposed phase mask is superior to other compared 
methods relating to imaging performance in extending the depth of field of an 
imaging system. 
Keywords: Wavefront coding; Phase mask; Depth of field. 
1. INTRODUCTION 
In recent years, wavefront coding is well known as a powerful technique which 
can be employed to extend the depth of field of an imaging system. Wavefront 
coding is a hybrid imaging technique and it includes two parts: the optics and the 
digital processing step. By placing a phase mask in the exit pupil plane, the 
modulation transfer function (MTF) or the point spread function (PSF) reduces 
sensitivity to defocus error. Then, middle images which are captured by a detector 
are the same blurred images to defocus error and become sharp and clear after 
using a simple deconvolution filter to decode them in the digital processing step. 
Conversely, in traditional imaging systems, the aim of the optics is to result in an 
imaging as sharp and clear as possible. After that, the image might be 
postprocessed to reveal information that are relevant to a specific application. 
However, the optimizations of the optics and the postprocessing are implemented 
separately. Moreover, in comparison between the wavefront coding system and 
traditional imaging system under the impact of defocus, the MTF of an wavefront 
coding system is lower than that of traditional imaging system. It introduces no 
zeros in the MTF of an wavefront coding system. Therefore, all frequencies can be 
restored to near diffraction-limited performance. 
In wavefront coding system, there are two parts which are designed together. 
However, the most important part of wavefront coding system lies in the design of 
suitable phase masks to obtain the defocus invariant characteristics. As a result, 
many researchers keep focusing on the development of this technique in term of 
phase masks. So far, many kinds of odd asymmetrical phase masks to increase the 
depth extension, such as cubic phase mask [1], logarithmic phase mask [2-5], 
exponential phase mask [6], sinusoidal phase mask, [7, 8], polynomial phase mask 
[9], free-form phase mask [10], rational phase mask [11], tangent phase mask [12], 
and high-order phase mask [13], have been reported. All these phase masks can 
achieve the goal of the depth of field extension. 
Although many phase masks have been mentioned above, there are two main 
methods to research a phase mask. One is based on resolution analysis using the 
Kỹ thuật điện tử 
N. P. Nam, L. V. Nhu, “Optimized rational phase mask  field in imaging systems.” 42 
stationary phase approximation method, as in the cubic phase mask [1] by 
minimizing the variation of the optical transfer function to the defocus, or in the 
given logarithmic phase mask by making the point spread function insensitive to 
the defocus [2]. Other methods are based on the optimization of parameters of the 
phase mask. By using this method, many phase masks with high performance in 
extending the depth of field were presented, as in [3-13]. However, the second 
method should use an evaluation function. Some evaluation functions have been 
widely applied to optimize parameters of the phase mask, such as the Fisher 
information, the mean square error of the MTF or the PSF. With each evaluation 
function, two conditions should be considered. The first one, the magnitude of the 
MTF should big enough to make the digital processing easier. The second one, the 
optical transfer function (OTF) should be invariant enough to defocus. 
According to [1, 4, 6, 7], the cubic, the improved logarithmic, the exponential, 
and the sinusoidal phase mask can be given by Eqs.(1)-(4), respectively, as follows: 
 3 3,f x y ax ay (1) 
 4 4, sgn log sgn logf x y x ax x b y ay y b (2) 
 2 2, exp expf x y ax bx ay by (3) 
 4 4, sin sinf x y ax bx ay by (4) 
Where x and y are the pupil plane coordinates; both a and b denote the phase 
mask parameters to control the magnitude of phase deviation; sgn(·) describes the 
sign function which is defined as 1 for x 0 and -1 for x 0. 
The high performance of the rational phase mask is demonstrated in [11]. 
However, this rational phase mask has twenty-four mask parameters to control the 
magnitude of phase deviation. It is relatively complex. Hence, in this paper, the 
aim of work is to find a simple phase type of rational phase function to obtain the 
invariant modulation transfer function over a wide range of defocus. Based on 
using optimization method, and from trial and error, we propose a simple rational 
phase mask with two mask parameters to control the magnitude of the phase 
deviation. Nonetheless, this mask can obtain the high performance in extending the 
depth of field. The proposed rational phase mask can be presented by, 
 2 2,
ax ay
f x y
b x b y
 (5) 
where these symbols in Eq. (5) have meaning the same as above, but b 1. 
2. OPTIMIZATION OF PHASE MASK PARAMETERS 
To make performance comparison between five phase masks, these five masks 
should be determined under the same condition. Firstly, the integral areas of the in-
focus MTF for the five phase masks are the same. This condition ensures that the 
phase masks have the same ability to transfer signal. In this paper, we choose the 
value of the integral area of the in-focus MTF for the five phase masks is equal 0.3. 
With this value, the digital processing can make certain to obtain the restored final 
high-quality images. For the cubic phase mask, it has only one mask parameter to 
Nghiên cứu khoa học công nghệ 
Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san Viện Điện tử, 9 - 2020 43 
control the magnitude of phase deviation while the value of integral area of the in-
focus MTF is equal to 0.3. Therefore, it is easy to calculate the mask parameter a 
of the cubic phase mask as given in table 1. For other phase masks, they have two 
mask parameters to control the magnitude of phase deviation. Such, with the value 
of the integral area of the in-focus MTF is equal to 0.3, there are many values of 
(a, b) of the phase masks to satisfy this condition. However, there is a value pair of 
(a, b) to give the best performance in extending the depth of field. To determine 
this (a, b), we need to choose an evaluation function. Here, we adopt mean square 
error of the MTF to choose the optimal parameters (a, b) of the phase mask. 
According to [11], the optimization procedure based on mean square error of the 
MTF can be described by, 
0
1 2
1
0
MSE , 0,
min MSE
u
H u H u

 
   
  


 (6) 
Where H is the one-dimensional optical transfer function;  is the defocus 
parameter which the maximum value is the parameter 0 and it can be presented by, 
2
0
1 1 1
4 i
L
f d d
 
 
 (7) 
Where L is the aperture diameter,  is the wavelength of light, , d0, and di, are 
the focal length, the object distance, and the image sensor distance, respectively. 
Fig. 1. Phase profiles of five phase masks. 
Based on the optimization procedure as shown in Eq.(6) with 0 = 30, the 
corresponding optimum parameters (a, b) of the logarithmic, sinusoidal, 
exponential, and fractional phase mask are indicated in table 1. From the data in 
table 1, the one-dimensional phase profiles of five phase masks are shown in fig. 1. 
As can be seen in the figure, the phase profile of the rational phase mask is clearly 
Kỹ thuật điện tử 
N. P. Nam, L. V. Nhu, “Optimized rational phase mask  field in imaging systems.” 44 
separate to the other phase masks when the variation of height of the rational phase 
mask profile is faster than the other phase masks. 
Table 1. Optimum parameters of five phase masks. 
 a b 
Cubic 89.85 
Logarithmic 139.99 -3.43 
Sinusoidal 189.94 1.87 
Exponential 42.99 1.37 
Rational 229.68 1.94 
3. PERFORMANCE COMPARISON FOR PHASE MASKS 
With the data in table 1, we can illustrate defocused MTF curves of the five 
phase masks at the in-focus condition  = 0 as well as at the out-focus condition,  
= 6, 12, 18, 24 and 30 as given in fig. 2. The defocused MTF curves of the cubic 
phase mask are indicated in fig. 2(a). The defocused MTF curves of the logarithmic 
phase mask are shown in fig. 2(b). The defocused MTF curves of the sinusoidal 
phase mask are given in fig. 2(c). Fig. 2(d) shows the defocused MTF curves of the 
exponential phase mask. The defocused MTF curves of the rational phase mask are 
presented in fig. 2(e). From fig. 2, it is clear that the defocused MTF curves of the 
five phase masks are less sensitive to defocus. However, the defocused MTF curves 
of the cubic, logarithmic, and sinusoidal phase mask are less invariant than that of 
the other phase masks because the defocused MTF curves of the cubic phase mask 
present a strong oscillations at high spatial frequency part, while the two logarithmic 
and sinusoidal phase masks have noticeable oscillations at low and high spatial 
frequency parts. The defocused MTF curves for the two exponential and rational 
phase masks have high stability. However, it can be seen that the defocused MTF 
curves of the rational phase mask is more invariant than that of the exponential phase 
mask. Therefore, the rational phase mask could perform better in extending the depth 
of field of an imaging system. 
Besides the defocused MTF, another approach to evaluate the defocus invariant 
characteristic of an imaging system with a phase mask is the mean square error of 
the MTF (MSE) as given in Eq. (6). The MSE reveals the stable level of the 
defocused MTF. The lower the MSE is, the higher invariant to defocus the phase 
mask. Fig. 2 shows that MSE curves of the five phase masks corresponding to their 
optimum parameters which are listed in table 1. From fig. 2, it is clear that the 
MSE of the sinusoidal phase mask is bigger among all phase masks, while the 
MSE of the exponential-rational mask pair is lower than that of the cubic-
logarithmic mask pair. The MSE of the rational phase mask is lower than that of 
the exponential phase mask. The value of the MSE of the rational phase mask is 
lower approximately 32% in comparison with the exponential phase mask at the 
defocus parameter  = 30. So the rational phase mask is less sensitive to defocus. 
Nghiên cứu khoa học công nghệ 
Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san Viện Điện tử, 9 - 2020 45 
(a) Cubic phase mask (b) Logarithmic phase mask 
(c) Sinusoidal phase mask (d) Exponential phase mask 
(e) Rational phase mask 
Fig. 2. Defocused MTF curves of five phase masks. 
Kỹ thuật điện tử 
N. P. Nam, L. V. Nhu, “Optimized rational phase mask  field in imaging systems.” 46 
Fig. 3. MSE curves of five phase masks. Fig. 4. Hilbert space angle curves of 
five phase masks. 
Another powerful tool to evaluate defocus invariant imaging property is the 
Hilbert space angle. The Hilbert space angle indicates the similar level between 
two functions. The smaller the Hilbert space angle, the more similar the two 
functions will be. Here we use the Hilbert space angle between the in-focus MTF 
and the out-focus MTF to evaluate the imaging performance of the phase mask. 
The Hilbert space angle, (), between the in-focus MTF and the out-focus MTF 
can be presented by, 
1
, . 0,
cos
, 0,
H u H u
H u H u
   
   
   
 (8) 
Where the symbol · is the inner product, the symbol · denotes the norm. 
By using Eq. (8) and the data in table 1, Hilbert space angle curves of the five 
phase masks are illustrated in fig. 4. It can be seen that when defocus is small, the 
Hilbert space angle of the cubic phase mask is bigger among all phase masks, and 
when defocus increase, the Hilbert space angle of the sinusoidal phase mask 
increase and bigger than the other masks. While the Hilbert space angles of the 
exponential-rational mask pair are lower than that of the other phase masks. In 
which, the Hilbert space angle of the rational phase mask is lower than that of the 
exponential phase mask at any defocus parameter value. When defocus parameter 
 is set to 30, the value of the Hilbert space angle of the rational phase mask is 
lower approximately 22% in comparing with the exponential phase mask. This 
means that the rational phase mask can perform better in enlarging the depth of 
field of an imaging system. 
Finally, we consider images of these phase masks with a cameraman target with 
the size of 256 256 pixels. This is a direct way to evaluate imaging performance of 
the phase masks in extending the depth of field. Fig. 5 shows the images of the five 
phase masks at the in-focus condition  = 0 as well as at the out-focus condition  
= 15, and  = 30. The top row in fig. 5 is a set of final images of the wavefront 
coding system with the cubic phase mask. The second row in fig. 5 is a set of final 
images of the wavefront coding system with the logarithmic phase mask. 
Nghiên cứu khoa học công nghệ 
Tạp chí Nghiên cứu KH&CN quân sự, Số Đặc san Viện Điện tử, 9 - 2020 47 
Fig. 5. Simulation images of cameraman target (rows: cubic, logarithmic, 
sinusoidal, exponential, and rational; columns:  =0,  = 15, and  = 30). 
Kỹ thuật điện tử 
N. P. Nam, L. V. Nhu, “Optimized rational phase mask  field in imaging systems.” 48 
The third row in fig. 5 is a set of final images of the wavefront coding system 
with the sinusoidal phase mask. The fourth row in fig. 5 is a set of final images of 
the wavefront coding system with the exponential phase mask. The bottom row in 
fig. 5 is a set of final images of the wavefornt coding system with a rational phase 
mask. As can be seen in fig. 5, the image with the cubic phase mask is more 
degraded during the digital processing, such as artifacts on images, especially 
when defocus parameter is bigger. The image degradation of the cubic phase mask 
comes from the oscillations and the spatial frequency cutoff of its defocused MTF 
as shown in fig. 2 (a). The quality of restored final images from the logarithmic-
sinusoidal mask pair is almost the same and is better than that of the cubic phase 
mask. Whereas the exponential-rational mask pair provide a better image quality 
among all phase masks. Additionally, the visual perception of the rational phase 
mask is likely better than that of the exponential phase mask. Hence, the rational 
phase mask could be better in extending the depth of field of an imaging system. 
4. CONCLUSION 
In the paper, the simple rational phase mask to reduce the impact of defocus 
error in the modulation transfer function has proposed. Based on the evaluation of 
different methods such as: evaluation ways of the defocused MTF, the mean 
square error of the MTF, and Hilbert space angle between the in-focus MTF, the 
out-focus MTF and image restoration, it can be concluded that the proposed phase 
mask has remarkable improvement in imaging performance in extending the depth 
of field of an imaging system. Practically, it is feasible that a series of rational 
phase masks can be employed to enlarge the depth of field. Additionally, noise 
effect to image quality will be also investigated. This issue will be further studied 
in the future. 
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[3]. H. Zhao and Y. Li, “Performance of an improved logarithmic phase mask 
with optimized parameters in a wavefront-coding system,” Appl. Opt. 49, 
229-238 (2010). 
[4]. H. Zhao and Y. Li, “Optimized logarithmic phase masks used to generate 
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Opt. Lett. 35, 2630 -2632 (2010). 
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depth of field of an incoherent imaging system,” Opt. Lett. 33, 1171-1173 (2008). 
[6]. Q. Yang, L. Liu, and J. Sun, “Optimized phase pupil masks for extended depth 
of field,” Opt. Commun. 272, 56-66 (2007). 
[7]. H. Zhao and Y. Li, “Optimized sinusoidal phase mask to extend the depth of 
field of an incoherent imaging system,” Opt. Lett. 35, 267-669 (2010). 
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[8]. J. Wang, J. Bu, M. Wang, Y. Yang and X. C. Yuan, “Improved sinusoidal 
phase plate to extend depth of field in incoherent hybrid imaging systems,” 
Opt. Lett. 37, 4534-4535 (2012). 
[9]. N. Caron and Y. Sheng, “Polynomial phase mask for extending depth-of-field 
optimized by simulated annealing,” Proc. SPIE 6832, 68321G-1-10 (2007). 
[10]. Y. Takahashi, and S. Komatsu, “Optimized free-form phase mask for 
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[12]. V. N. Le, Z. Fan, S. Chen, “Optimized asymmetrical tangent phase mask to 
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power wave fronts,” Opt. Lett. 29, 560-562 (2004). 
TÓM TẮT 
MẶT NẠ PHA HÀM PHÂN THỨC TỐI ƯU 
MỞ RỘNG ĐỘ SÂU TRƯỜNG TRONG HỆ THỐNG TẠO ẢNH 
Công nghệ mã hóa mặt sóng bao gồm các bước tạo ảnh quang học và quá 
trình xử lý số cho nhận ảnh chất lượng cao. Phần quan trọng nhất của công 
nghệ mã hóa mặt sóng nằm ở thiết kế mặt nạ pha phù hợp để nhận các đặt 
tính bất biến lệch tiêu. Ở bài báo này, chúng tôi đề xuất một mặt nạ pha hàm 
phân thức với hai tham số cho mở rộng độ sâu trường. Một loạt các so sánh 
được tính toán giữa mặt nạ pha đề xuất với các mặt nạ pha hàm bậc ba, hàm 
logarit, hàm sin, hàm mũ được trình bày. Các kết quả mô phỏng đã chứng 
minh rằng, mặt nạ pha đề xuất có khả năng cao cho mở rộng độ sâu trường 
của một hệ thống tạo ảnh. 
Keywords: Wavefront coding; Phase mask; Depth of field. 
Nhận bài ngày 26 tháng 3 năm 2020 
Hoàn thiện ngày 28 tháng 7 năm 2020 
Chấp nhận đăng ngày 28 tháng 8 năm 2020 
Địa chỉ: 1Institute of Electronics, Academy of Military Science and Technology; 
2
Le Quy Don Technical University. 
*
Email: ngnamaus41@gmail.com. 

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