Automatic MTF Conversion between Different Characteristics Caused by Imaging Devices

Author:

Tanaka Midori12ORCID,Ando Tsubasa2,Horiuchi Takahiko2ORCID

Affiliation:

1. Graduate School of Global and Transdisciplinary Studies, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba 263-8522, Japan

2. Graduate School of Science and Engineering, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba 263-8522, Japan

Abstract

Depending on various design conditions, including optics and circuit design, the image-forming characteristics of the modulated transfer function (MTF), which affect the spatial resolution of a digital image, may vary among image channels within or between imaging devices. In this study, we propose a method for automatically converting the MTF to the target MTF, focusing on adjusting the MTF characteristics that affect the signals of different image channels within and between different image devices. The experimental results of MTF conversion using the proposed method for multiple image channels with different MTF characteristics indicated that the proposed method could produce sharper images by moving the source MTF of each channel closer to a target MTF with a higher MTF value. This study is expected to contribute to technological advancements in various imaging devices as follows: (1) Even if the imaging characteristics of the hardware are unknown, the MTF can be converted to the target MTF using the image after it is captured. (2) As any MTF can be converted into a target, image simulation for conversion to a different MTF is possible. (3) It is possible to generate high-definition images, thereby meeting the requirements of various industrial and research fields in which high-definition images are required.

Funder

JSPS KAKENHI

Publisher

MDPI AG

Reference24 articles.

1. Adaptive optics for high-resolution imaging;Hampson;Nat. Rev. Methods Primers,2021

2. Mid-frequency MTF compensation of optical sparse aperture system;Zhou;Opt. Express,2018

3. Investigating perceptual qualities of static surface appearance using real materials and displayed images;Tanaka;Vis. Res.,2015

4. (2023). Photography-Electronic Still Picture Imaging-Resolution and Spatial Frequency Responses (Standard No. ISO 12233).

5. Burns, P.D. (2000, January 26–29). Slanted-edge MTF for digital camera and scanner analysis. Proceedings of the PICS 2000: Image Processing, Image Quality, Image Capture, Systems Conference, Portland, OR, USA.

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