If scan line density is decreased, which technique will be employed to fill in the missing data between the scan lines?

If scan line density is decreased, which technique will be employed to fill in the missing data between the scan lines?

• A. Demodulation
• B. Interpolation
• C. Rejection
• D. Autocorrelation

Answer: (B)

When scan line density is reduced, the image has gaps between the lines. Interpolation fills in those missing values by estimating what lies between the known scan lines based on nearby data. This creates a smoother, more continuous image and helps preserve spatial detail despite sparser sampling. It uses information from surrounding lines to guess the intermediate values, which is why it’s the right choice for reconstructing data between scan lines. Demodulation is about extracting the desired signal from a modulated carrier, not about spatial reconstruction. Rejection involves discarding data, which would worsen the gaps. Autocorrelation measures how similar a signal is to a delayed version of itself, used for analysis or detection, not for filling in missing spatial data.

When scan line density is reduced, the image has gaps between the lines. Interpolation fills in those missing values by estimating what lies between the known scan lines based on nearby data. This creates a smoother, more continuous image and helps preserve spatial detail despite sparser sampling. It uses information from surrounding lines to guess the intermediate values, which is why it’s the right choice for reconstructing data between scan lines.

Demodulation is about extracting the desired signal from a modulated carrier, not about spatial reconstruction. Rejection involves discarding data, which would worsen the gaps. Autocorrelation measures how similar a signal is to a delayed version of itself, used for analysis or detection, not for filling in missing spatial data.