Which term describes filling in data between scan lines to generate a continuous image?

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Multiple Choice

Which term describes filling in data between scan lines to generate a continuous image?

Explanation:
Interpolation is the process of estimating values between known samples. In imaging that uses scan lines, you have discrete lines of data rather than a perfectly continuous image. Interpolation takes the values from surrounding lines (and sometimes neighboring pixels) to estimate the values that lie between those lines, producing a smoother, continuous-looking image. This is why it’s used to fill in gaps and create a more seamless picture, whether you’re using simple linear methods or more advanced bilinear or bicubic approaches. The other terms don’t describe this reconstruction: rejection means discarding data, demodulation is about extracting information from a modulated signal, and autocorrelation measures how a signal correlates with a delayed version of itself.

Interpolation is the process of estimating values between known samples. In imaging that uses scan lines, you have discrete lines of data rather than a perfectly continuous image. Interpolation takes the values from surrounding lines (and sometimes neighboring pixels) to estimate the values that lie between those lines, producing a smoother, continuous-looking image. This is why it’s used to fill in gaps and create a more seamless picture, whether you’re using simple linear methods or more advanced bilinear or bicubic approaches. The other terms don’t describe this reconstruction: rejection means discarding data, demodulation is about extracting information from a modulated signal, and autocorrelation measures how a signal correlates with a delayed version of itself.

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