What is tenser transformation?

Tenser transformation is a technique used in computer vision and image processing for enhancing the quality of digital images. It involves applying a mathematical transformation to an image that stretches or compresses the values in the color space. This transformation is applied separately to each color channel of an image, allowing for better contrast enhancement, color balance, and image sharpening. Tenser transformation can be useful for tasks such as medical image analysis, object recognition, and feature extraction. It is also used in the field of satellite imaging to improve the visual quality of satellite images for analysis.