What type of transformation is applied to pixels in a digital image when their RGB values are increased while ensuring the original data can be recovered?

In the context of digital images, a transformation that modifies pixel data while still allowing for the original data to be recovered is classified as lossless transformation. When the RGB values of pixels are increased, the process does not permanently discard any original information; thus, it's possible to revert back to the initial state of the image. This characteristic is crucial for applications where maintaining the integrity of the original data is essential, such as image editing, where adjustments might be made, but the original image needs to remain intact.

On the other hand, a lossy transformation would involve a change to the pixel data that eliminates some information permanently, making it impossible to recover the exact original values. Multiband transformation typically refers to the processing of images that have multiple spectral bands (like multispectral or hyperspectral images) rather than changes to RGB values. Chrome sampling would not apply to the transformation of RGB values in a manner that ensures data recovery, as it's more associated with color analysis.

Thus, the recognition of a lossless transformation ensures that alterations to the RGB pixel values can be reversed, making it the correct choice.