August 27, 2014, 03:10:38 PM

Author Topic: After CES Whats Next for Canon?  (Read 15313 times)


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Re: After CES Whats Next for Canon?
« Reply #15 on: January 19, 2013, 06:12:43 PM »
14-24. Just curious about the pricetag ;-) Anyway, the 16-35 "will do". Planning on it for maybe later this year.

Personally, because of the expected €2500+ pricetag of the 14-24L I just bought a 17-40L which is as good as a 16-35L for my macro/landscape requirements and as an occasional ultrawide when a 24-70 would be too long.

I for one hope that the 450EX-RT (or whatever the 430EX II successor will get called) gets announced. That would be really nice!

... it would be even nicer if the 450rt (or whatever the number) wouldn't be €400+ but as I understand Canon's early adopter's premium policy it'll probably closer to the 600rt price than the 430ex2 ... and I'd like to see some rt tiggers for legacy speedlites and studio flashes please.

Don Haines

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Re: After CES Whats Next for Canon?
« Reply #16 on: January 20, 2013, 09:27:19 AM »

I'd have no problem with storing 36MP files, or even 60MP files for that matter. No problem with processing them either.
Actualy, the 50 mp high ISO images decompress to about 150-200mb, and they are a pain to post process, particularly with brush adjustments in LR and adding NR.  I've processed 700 images from a nights shooting with my D800 and with a reasonably fast computer, and it takes much longer to post process than a 22mb 5D MK III.  Storage is not the issue, its cheap, but having to change CF cards twice as often is a pain.  I finally bought 64mb cards to help with that.

Storage is definitely getting cheaper.... I remember when hard drives dropped below the $1.00 per kilobyte level. Now it's around $1.00 per 20 gigabytes... And I have a drawer full of 32Mb compact flash cards at work.....

As to processing speed, GPU assisted programs are slowly finding there way into use. By using the graphic processor you can execute parallel tasks off of the main CPU, and depending on the nature of the program and data, can speed things up by a factor of ten or more. A good example of this is Autopano Giga, which can use the CUDA cores on an Nvidea graphics card to speed up rendering of panoramas. A high end card has 1000 1Ghz CUDA cores... Lots of computing power. There have been supercomputers built using graphics processors.

I would expect to see GPU processing getting more common in software as time goes on.
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