Difference between Image Sampling and Quantization Last Updated : 03 Dec, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report To create a digital image, we need to convert the continuous sensed data into digital form. This process includes 2 processes: Sampling: Digitizing the co-ordinate value is called sampling. Quantization: Digitizing the amplitude value is called quantization. To convert a continuous image f(x, y) into digital form, we have to sample the function in both co-ordinates and amplitude. Difference between Image Sampling and Quantization: Sampling Quantization Digitization of co-ordinate values. Digitization of amplitude values. x-axis(time) - discretized. x-axis(time) - continuous. y-axis(amplitude) - continuous. y-axis(amplitude) - discretized. Sampling is done prior to the quantization process. Quantizatin is done after the sampling process. It determines the spatial resolution of the digitized images. It determines the number of grey levels in the digitized images. It reduces c.c. to a series of tent poles over a time. It reduces c.c. to a continuous series of stair steps. A single amplitude value is selected from different values of the time interval to represent it. Values representing the time intervals are rounded off to create a defined set of possible amplitude values. Comment More infoAdvertise with us Next Article Difference between Image Sampling and Quantization P pp_pankaj Follow Improve Article Tags : Computer Graphics computer-graphics Similar Reads Digital Image Processing Basics Digital Image Processing means processing digital image by means of a digital computer. We can also say that it is a use of computer algorithms, in order to get enhanced image either to extract some useful information. 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