Which of the following is not a type of radiometric correction used in image processing?

In the context of image processing, radiometric corrections are applied to enhance the quality of images collected by sensors, particularly in remote sensing applications. These corrections address various factors that can affect the accuracy of the data collected.

Noise removal is a critical radiometric correction that eliminates random variations and interferences in image data, ensuring that the resultant images more accurately reflect the true surface conditions. This correction is integral to producing high-quality imagery.

Sun angle correction adjusts for variations in illumination due to the angle of the sun at the time the image was captured. Such adjustments are necessary because changes in solar angle can lead to differing light conditions, affecting how the sensor captures the reflected energy.

Haze correction deals with atmospheric conditions that can obscure the view of the Earth's surface, thereby impacting the sensor's ability to accurately measure reflected light. This correction helps in revealing the true colors and features of the landscape, enhancing the clarity of the images.

On the other hand, ozone depletion correction is not typically classified as a radiometric correction for enhancing image quality. While atmospheric conditions can influence remote sensing data through the absorption and scattering of light, ozone depletion primarily relates to atmospheric chemistry rather than specific adjustments made to improve radiometric data fidelity. Thus, it does not fit within the standard types