You can’t make document changes more convenient than editing your EZW files on the web. With DocHub, you can access tools to edit documents in fillable PDF, EZW, or other formats: highlight, blackout, or erase document elements. Add text and pictures where you need them, rewrite your form completely, and more. You can save your edited record to your device or submit it by email or direct link. You can also transform your documents into fillable forms and ask others to complete them. DocHub even provides an eSignature that allows you to sign and send documents for signing with just a few clicks.
Your documents are safely kept in our DocHub cloud, so you can access them anytime from your desktop computer, laptop, mobile, or tablet. If you prefer to apply your mobile device for file editing, you can easily do it with DocHub’s application for iOS or Android.
Last class we covered that how to use the discrete wavelet transform in images, then we had also planned to cover that how the DWT coefficients are actually encoded in order to generate the bit stream. Now we could not exactly cover to the extent we had decided in the last class because of some shortage of time, so we are going to continue with that in this lecture. The title that we have for this lecture is embedded zerotree wavelet encoding. Now, towards the end of the last lecture I had actually introduced to you the concept of the parent-child relationship that exists between the coefficients in the different subbands and especially we had seen that whenever we are changing from one resolution to the next; to the more final resolutions whenever we are going, there we are finding that one pixel or one coefficient in the coarser resolution or coarser scale that corresponds to four coefficients in the next final level of scale and this is what will form a kind of a tree where the root