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The down sampling is to ensure that the transformed image subspace resolution after DWT is still same as the original image spatial resolution. This is referring to dyadic wavelet transform.
Hi, you are asking a good old days question :) well, you can refer to any "analogue" multimeter manuals (eg sanwa 360, 361 ... ) and the answer will be there. Bye.
If you are looking for a real-time image processing project than you should check TI TMS 6000 series DSPs. Also, TI site has many application notes for it. So, can MATLAB help me? Yes, get the real-time toolbox and code generator for embedded system. First, design your image processing...
Use wavelets. Wavelets is able to generate better image feature (I assume you will capture palm print using imaging system) compared to DCT. As given in the first two reply, wavelets has the ability to represent signal/image in time-freq localisation which Fourier basis are only well represented...
Question about pic
Friend, what you can do is, get a HEX disassembler to convert the HEX code back to ASM source. From there you can verify the REG names, I/O, .... etc. Than, modify the converted ASM file with correct ASM statements and Compile the ASM again to HEX for youe targeted PIC.
Embedded C by Michael J Pont from Addision Wesley. It is based on ANSI C structure so the C programs explained in the book is easy to deploy into any processors.
What kind of image operation you are referring to? Sigmentation, filtering, transform, and etc. You have to tell what image operation you are looking to before to search for the best algorithm for that specific image operation.
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Oooh... for image restoration, I would...
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