Image Transformation in Image preprocessing

Transformations is common in computer science in order to reduce complexity of calculations remember that strength reduction concept of compiler design, where multiplications in iterative approaches are replace with addition operations. Analogy to that in image preprocessing images are converted into another but equivalent form which reduces the complexity of operations performed over that image is image transformation concept. This post is about brief understanding of image transformation in image. preprocessing.

What is Image Transformation ?

Transformation is a mathematical tool, which enables to change an image from one domain to another domain for easy task performing. Transformation do not change the image information content.

Types of Image Transformation

Orthogonal Sinusoidal Basis Function

Use case: Image compression, JPEG uses discrete cosine transform uses to concentrating the image information in over range of few frequency components which makes the JPEG to achieve efficient compression, which reduces the size of file and also maintain the image quality.

Non-Sinusoidal orthogonal Basis Function