CanadaDrone
Well-Known Member
- Joined
- May 9, 2018
- Messages
- 2,176
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Being a photographer who has had wall size prints made, you don't know what you are talking about. Noise does show up in a print. If you are like what you call most people, you are viewing the photos on a phone and even ones taken with the phone look good there.
I too sell wall sized prints - if you are having issues with noise showing up in your prints under normal circumstances, you need to work on your processing techniques or change the print medium.
That is why I posted jpg's processed by the cameras themselves untouched.
The very definition of a JPEG means it is fully processed - this is what you do not seem to grasp and what I am trying to peel out and explain to people so they do not misinterpret your comments as fact. You cannot compare 'untouched' JPEGs because they don't really exist. You seem to be taking offense to this and I apologize if that is the case as it is not my intention.
FYI I do know all about noise reduction, I don't need any help from you. Once again you are so far off the question of the thread.
That may be true but the comments you are making suggest the opposite, and I can only respond to the information I am given.
I have worked with many MP2 raw files and am frustrated by all the noise. They are advertising this as a Hassleblad. I answered the poster that what they are seeing is typical of this unit. I don't need a stupid sensor shootout to see what is on my computer monitor.
See my earlier explanation re: Hasselblad's involvement. A 30 second google search would have been enough to temper your expectations before your purchased the drone if you are disappointed that it isn't performing like a $30K digital back. Branding like this is very common in the camera world and also in marketing in general across a variety of products.
I have spent enough years processing photos to tell you I don't care what the sensor is, I can see what I can and can't do with it. The MP2 is noisy period.
You could spend 200 years processing photos and if you are not interested in objective, relevant, apples-to-apples comparisons that directly translate to what we see with our eyes, it doesn't make a difference.
I will not be responding to you again as you seem to think you need a scientific experiment to be able to see noise in a photo. Try using your eyes or maybye quit viewing it on a phone iPad/tablet...
I apologize to the original poster for this post going way south.
The funny thing about facts is it doesn't really matter what you think, they're still true
![Wink ;) ;)](https://cdn.jsdelivr.net/joypixels/assets/8.0/png/unicode/64/1f609.png)
Nothing has gone South as there are important clarifications being made that are relevant to the OP's question. It's all good
![Thumbs Up Thumbswayup Thumbswayup](https://i.imgur.com/0ROJYyg.png)