https://wiki.yanding.com/ 2026-07-11T05:28:06+00:00 https://wiki.yanding.com/ https://wiki.yanding.com/lib/tpl/myconfluence/images/favicon.ico text/html 2026-07-10T08:02:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:chromatic_aberration&rev=1783670579&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Chromatic Aberration I. What is Chromatic Aberration Chromatic Aberration (CA) refers to the phenomenon where a lens fails to focus all wavelengths of light to the same focal point, resulting in colored fringes (commonly purple, green, or red) along high-contrast edges. Its essence lies in the dispersion of optical materials—the refractive index n v… text/html 2026-07-10T08:02:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:distortion&rev=1783670577&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Distortion I. Definition and Types of Distortion Distortion is a highly unique geometric aberration. It does not affect the sharpness of the image, but it causes originally straight lines in the actual scene to bend, thereby altering the geometric similarity between the object and the image.$$D = \frac{\Delta H}{H} \cdot 100$$$\Delta H$$H$$(x_{real}… text/html 2026-07-10T08:02:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:dynamic_range&rev=1783670575&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Dynamic Range When shooting against the light, the sky is overexposed and lacks detail, while the foreground subjects are reduced to black $DR_{dB}=20log_{10}(\frac{L_{max}}{L_{min}})$$L_{max}$$L_{min}$ text/html 2026-07-10T08:02:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:field_of_view&rev=1783670579&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Field of View 1. Concept of Field of View In the field of photography, Angle of View (AOV) and Field of View (FOV)$$ \alpha=2arctan\frac{d}{2f} $$$d_{h}$$d_{v}$$HFOV=2arctan\frac{d_{h}}{2f}$$VFOV=2arctan\frac{d_{v}}{2f}$$DFOV = 2 \arctan\left( \frac{\sqrt{{d_{h}}^2 + {d_{v}}^2}}{2f} \right)$ text/html 2026-07-10T08:02:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:flare&rev=1783670577&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Flare In daily life, have you ever encountered such a situation: when shooting against the light, the entire image looks like it is covered with a $$F = \frac{S_{black}}{S_{white}} \times 100\%$$$2\text{cd/m}^2$$\text{Mcd/m}^2$$\text{arcmin}$$FlareAverage_{dB \theta，\phi}$$$FlareAverage_{dB \theta，\phi}=avg(Flare_{dB \theta，\phi}(x,y))$$$FlareAverage… text/html 2026-07-10T08:02:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:mtf_sfr_analysis_and_testing&rev=1783670575&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) The "Eye Chart" of Imaging Systems: In-depth Analysis and Testing Practices of MTF/SFR When discussing the resolution (objective physical limit) of an imaging system, as well as sharpness and clarity (subjective visual perception), MTF/SFR are the core metrics for quantifying these objective and subjective dimensions. Through the MTF curve, they intu… text/html 2026-07-10T08:02:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:noise&rev=1783670576&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Noise I. Definition Image noise refers to the unintended interference superimposed on the target signal during image acquisition, transmission, or processing. Its external manifestation is the $\sigma_{\text{signal}} = \sqrt{N_{\text{signal}}}$$I_{\text{dark}} \propto A \cdot T^3 e^{-\frac{E_g}{kT}}$$I_{\text{dark}}$$T$$E_g$$k$$A$$\sigma_{\text{dark… text/html 2026-07-10T08:03:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:sharpness&rev=1783670580&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Sharpness I. The Essence of Sharpness Sharpness is a core metric for evaluating the detail rendition and edge clarity of an image. Its essence lies in the contrast gradient at the boundaries between regions of different tones or colors—the steeper the gradient, the crisper the edges and the stronger the detail separation. It not only determines the … text/html 2026-07-10T08:02:58+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:spatial_frequency_units&rev=1783670578&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Spatial Frequency Units Units and Applications of Spatial Frequency Conversion Formulas Different units can be converted using parameters such as image height and focal length. The conversion formulas are as follows:$\frac{MTF(C/P)}{\text{pixel pitch}}$$2 \times MTF\left(\frac{LP}{PH}\right)$$2 \times MTF\left(\frac{C}{P}\right) \times PH$$MTF\le… text/html 2026-07-10T08:02:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:uniformity_shading&rev=1783670576&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Uniformity 1. Concept of Uniformity Uniformity encompasses image luminance uniformity and image color uniformity. text/html 2026-07-10T08:02:58+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.yanding.com/doku.php?id=en:yanding:imaging_basics:imaging_systems:image_quality_issues:white_balance&rev=1783670578&do=diff FIXME This page is not fully translated, yet. Please help completing the translation. (remove this paragraph once the translation is finished) Auto White Balance 1. Color Constancy The white balance of a camera originates from the color constancy of human vision, which is the mechanism by which the human visual system maintains the perceived color of objects under illumination from light sources with different spectra. As shown in the figure, as the color temperature of the light source ch…