Difference between resolution and resolving power

Roughly organized at this point in time

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For those who do not understand the difference between resolution and resolution, it is correct to replace it with "resolution".

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Resolution and resolving power are often confused, but they refer to different concepts. Here we explain the difference between them.

Definition: Resolution is a measure of how fine an image or display is. It is typically measured in terms of the number of pixels in an image or the pixel density (number of pixels/area) of a display. For example, a resolution of 1920x1080 means an image with 1920 horizontal pixels and 1080 vertical pixels.

Uses: Often used in fields related to image display and printing, such as digital cameras, monitors, televisions, and printers.

Importance: High-resolution devices and images can show more detail, as it is crucial to the sharpness and detail of an image.

[Resolving Power

Definition: Resolution refers to the ability to distinguish two close points or lines separately. It is a measure of the performance of an optical system (camera lens, microscope, etc.) and is generally expressed in terms of spatial frequency (number of lines or points per unit distance).

Uses: It is primarily used to evaluate optical systems. For example, the resolving power of a microscope or telescope indicates how well they can distinguish fine details.

Importance: Reflects the performance of the optical system and how well it captures the finest details of the subject.

Key Points of Difference

Target: Resolution is an attribute of the image or display itself, while resolving power indicates the performance of the optical system.

Measurements: Resolution is measured in pixels or dots, while resolving power is measured in spatial frequency.

Applications: Resolution is relevant to image processing and display technology, while resolving power is relevant to optical system design and performance evaluation.

Understanding these differences is important in the use of appropriate technical terminology, device selection, and performance evaluation.

>ochyai: Resolution Collapse: OTF/MTF/PSF/LSF understood by business comedians is required. Here it is!

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OTF (Optical Transfer Function)

Definition: OTF is the response characteristics of an optical system in the frequency domain. It shows how the system responds to different spatial frequencies (i.e., patterns of different fineness).

Calculation: OTF is defined as the Fourier transform of the PSF (Point Spread Function). It transforms how an optical system blurs a point source (PSF) into how it transmits different frequency components (OTF).

MTF (Modulation Transfer Function)

Definition: MTF is defined as the magnitude (absolute value) of the OTF. It indicates how an optical system transfers contrast in an image.

Applications: Mainly used to evaluate the performance of optical instruments such as camera lenses and microscopes. High MTF values mean high image contrast and sharp details.

PSF (Point Spread Function)

Definition: The PSF is a function of how a point source is blurred through an optical system. It can be viewed as the "impulse response" of an optical system.

Characteristic: In an ideal optical system, the PSF would be a delta function (point-like), but in a real system, the light source spreads in a blurry fashion (e.g., disk-like).

LSF (Line Spread Function)

Definition: LSF represents the response of a line light source, instead of a point source, as it passes through an optical system. It can be viewed as a one-dimensional analog of PSF.

Calculation: The LSF is obtained as the integral of the PSF. It can also be calculated as the derivative of the edge spread function (ESF).

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