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A laptop’s webcam, despite its crucial role in many workflows that have recently moved out of the office, is something that most people take for granted. ... Low light is quite grainy with user ...
The ISO setting on a digital camera is the first (and sometimes only) user adjustable gain setting in the signal processing chain. It determines the amount of gain applied to the voltage output from the image sensor and has a direct effect on read noise. All signal processing units within a digital camera system have a noise floor.
Granularity, or RMS granularity, is a numerical quantification of density non-uniformity, equal to the root-mean-square (rms) fluctuations in optical density, [5] measured with a microdensitometer with a 0.048 mm (48-micrometre) diameter circular aperture, on a film area that has been exposed and normally developed to a mean density of 1.0 D (that is, it transmits 10% of light incident on it).
Many motion blur factors have existed for a long time in film and video (e.g. slow camera shutter speed). The emergence of digital video, and HDTV display technologies, introduced many additional factors that now contribute to motion blur. The following factors are generally the primary or secondary causes of perceived motion blur in video.
The Microsoft Surface Pro 4 comes with an 8 MP rear camera with the OV5693 image sensor, and a 5 MP front facing camera with the OV8865 image sensor. The rear camera has 1.4 μm pixels, and a F/2 aperture for lower light scenarios. The front camera moves to a wider field of view for use with video conferencing. The quality is a bit grainy. [41]
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In 3D computer graphics, anisotropic filtering (abbreviated AF) [1] [2] is a method of enhancing the image quality of textures. It only applies on surfaces at oblique viewing angles to the camera and where the projection of the texture (not the polygon or other primitive on which it is rendered) appears to be non- orthogonal .
As a camera approaches a textured polygon, simplistic nearest neighbor texture filtering would simply zoom in on the bitmap, creating drastic pixelation. The most common solution is a technique called pixel interpolation that smoothly blends or interpolates the color of one pixel into the color of the next adjacent pixel at high levels of zoom.