Image Quality Video Series

Image Quality parameter series introduction video

There are many factors that affect imaging equipment (cameras, etc.). To obtain high-quality images, many parameters of the imaging equipment need to be optimized. This series of videos will introduce these parameters.

Parameter ：Sharpness、Niose、LAC、Color Accuracy、Dynamic Range、Exposure accuracy、Uniformity...

① Sharpness

Sharpness is one of the most important image quality parameters, which determines the maximum detail that an imaging system can obtain.

② Noise

Noise is an unpredictable random spatial variation, which can be regarded as the texture in the film or the fluctuation of the pixel level in the digital image. Learn how to use Imatest to determine the effect of noise on your camera system.

③ LCA

Lateral chromatic aberration (LCA), AKA lateral chromaticity shift (LCD) and "color moir" are lens aberrations that focus colors at different distances from the center of the image, and are most noticeable near the corners of the image.

④ Color Accuracy

Color accuracy-Color is an important image quality factor, and care must be taken to convert the original RGB value into a pleasing visual image.

⑤ Dynamic Range（DR）

Dynamic range (DR) is the exposure range (that is, scene brightness), which is the range of light intensity from the brightest area to the darkest area (independent of noise). The camera has good contrast and good signal-to-noise ratio (SNR) in this range Respond. Tonal response and noise are the key factors that determine the dynamic range. They are affected by the sensor, lens, camera housing and original image processing.

⑥ Exposure accuracy

ISO sensitivity (or ISO speed) measures the responsiveness of an image sensor to light. ISO12233 defines how the camera manufacturer should determine the exposure index level. The imatest measurement is based on the ISO sensitivity saturation and standard output sensitivity.

⑦ Uniformity

Brightness non-uniformity, also known as light attenuation, lens shadow, or vignetting, is largely affected by lens geometry; color non-uniformity or color deviation is mainly affected by the angle of the chief light illuminating the sensor surface , And use anti-aliasing, infrared and color filter pixel interaction.

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