2. Multiresolution analysis:
Multiresolution analysis refers to breaking up a signal into components that produce the
original signal exactly when added together. To be useful for data analysis, how the signal is decomposed is
important.
The components ideally decompose the variability of the data into physically meaningful and interpretable parts. The
term multiresolution analysis is often associated with wavelets or wavelet packets
What is Multi-Resolution Analysis (MRA)
A multiresolution analysis (MRA) or multiscale approximation (MSA) is the design method of most of the
practically relevant discrete wavelet transforms (DWT) and the justification for the algorithm of the fast
wavelet transform (FWT).
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23. What are invariant features of image?
Invariant features are image characteristics which remain unchanged under the action of a
transformation group
For example, when solid objects of different orientation are compared, the volume of the objects is an invariant
feature.
Invariant Features
