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Quantization error and dithering

机译:量化误差和抖动

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Digital storage and transmission promise noise-free images, but it is important to keep in mind that even digital is not perfect. Digital images have their own sources of noise: round-off error and quantization error. Whenever you do any sort of image arithmetic, such as contrast enhancement or compositing, you get roundoff error. In fact, since the arithmetic is often done in only X-bit accuracy, sometimes the round-off error can be substantial. You get quantization error, on the other hand, whenever you go from an analog signal to a digital signal or whenever you go from a high color-resolution signal (for example, 24 bits per pixel) to a low resolution signal (for example, 8 bits per pixel). The author considers the quantization error from analog to digital.
机译:数字存储和传输可保证图像无噪点,但要记住即使数字也不完美。数字图像有其自身的噪声源:舍入误差和量化误差。每当您执行任何类型的图像算术(例如对比度增强或合成)时,都会出现舍入误差。实际上,由于算术通常仅以X位精度完成,因此舍入误差有时会很大。另一方面,无论何时从模拟信号转换为数字信号,或者从高彩色分辨率信号(例如,每像素24位)变为低分辨率信号(例如,每个像素8位)。作者考虑了从模拟到数字的量化误差。

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