https://optimization.cbe.cornell.edu/index.php?action=history&feed=atom&title=File%3AWX20211211-012754%402x.pngFile:WX20211211-012754@2x.png - Revision history2026-05-02T19:00:11ZRevision history for this page on the wikiMediaWiki 1.43.0https://optimization.cbe.cornell.edu/index.php?title=File:WX20211211-012754@2x.png&diff=5086&oldid=prevMiScott1601 at 06:55, 11 December 20212021-12-11T06:55:50Z<p></p>
<p><b>New page</b></p><div>Figure 3. DWT plays a significant role in reducing the dimension of an image and extract the features by decomposing an image in frequency domain into sub-bands at different scales. The DWT of an image is created as follows: in the first level of decomposition, the image is split into four sub-bands, namely HH1, HL1, LH1, and LL1, as shown in the figure. The HH1, HL1 and LH1 sub-bands represent the diagonal details, horizontal features and vertical structures of the image, respectively. The LL1 sub-band is the low resolution residual consisting of low frequency components and it is this sub-band which is further split at higher levels of decomposition.</div>MiScott1601