My question is about the difference between single scale and multi scale in scale space theory. But I think I have to write what I understand about scale space theory and what I guess is the difference between single scale and multi scale:
- Kernel is an operator which we put on detected data and save its result as a sample pointpoints.
- Out put of operation depends on size of kernelsize of kernel and its coefficientscoefficients.
- If size of kernel and its coefficients only depend to one independent variable, the operator is single scalecalled single scale, for example for
Single Scale Retinex
which those only depend on size of Gaussian kernel. Multi Scale Retinex
is a multi scale operator; because it is defined as the weighted average of nn Single Scale Retinex
images for differentσ
values.
Am I understand concepts true? Also what about difference between single scale and multi scale?