- What is wavelet coding in image processing?
- How wavelet transform is used in image processing?
- What is the inverse discrete wavelet transform IDWT used for?
What is wavelet coding in image processing?
Wavelet coding or compression is a form of data compression well suited for image compression (sometimes also video compression and audio compression). Wavelet compression can be either perfect (lossless) or lossy, where a certain loss of quality is accepted.
How wavelet transform is used in image processing?
Using wavelet transform, image can be decomposed at different levels of resolution as wavelet decomposition has varying window size and can also be processed from low resolution to high resolution as wavelet transformation is localized both in time and frequency domains.
What is the inverse discrete wavelet transform IDWT used for?
Starting from the approximation and detail coefficients at level j, cAj and cDj, the inverse discrete wavelet transform reconstructs cAj−1, inverting the decomposition step by inserting zeros and convolving the results with the reconstruction filters.