Is it possible to obtain a green and red chromatic aberration?

In one of the amazing scenes in a video I've played. The vision is blurred and the objects closest to the edges of the screen are green and red.

Now, the usual chromatic aberration patterns are purple / green and red / cyan, but is green and red possible simply by shooting the photo? Is it possible to take a photo that already has chromatic abberation artifacts and then modify the colors of the artifacts in Photoshop CS6?

Red tea detoxification

Interesting how this works and quickly tilts your body.

Watch this!!! http://bit.ly/2YKV8pB

How to avoid overexposed and red / blue infrared images with Sigma SD14?

I am very new in photography and I was attracted to the infrared photos that I still see online.

I decided to try experimenting with something cheap to see if I have any hope in this hobby or not. I got an old Sigma SD14 because it doesn't require conversion, since the internal filter can simply be removed. I also got a Hoya r72 filter. Using the kit lens, for now.

Now, for some reason, all my photos end up horribly overexposed but with at least Some information in them, or total garbage, literally, without information in the photo.

I've tried what I feel is each combination of ISO, F and shutter speed with different but equally terrible results. I know I can't expect too much from the old and cheap camera I got, but I should be able to produce something Usable, at least according to other experiences I find online.

I have uploaded a couple of RAW samples and would be infinitely grateful to anyone who could give me some indication of what I am doing so badly. How is it that even in the best of my photos, if it is bluish, everything is equally bluish, or if it is reddish, everything is reddish (see the linked samples)? In other photos I see, trees look white or pink, but buildings don't.

Could it be that I just somehow damaged the sensor so that everything seems too bright?

I am very sorry for the breadth of my questions, but I still lack the vocabulary to express myself better. I'm learning, but I need direction …

The domain of the host with a false address: how big is a red flag?

Hm I guess it depends on your priorities.
If self-preservation is your reason, keeping your own backups will solve any problem.
If it's about not supporting shady people, then I think it makes sense.

My personal priority is to support people, not large companies, in which case they are likely to use a post office box. Box or something similar to hide your address. Many people are working online from quality companies that run at home.

lightroom: why do pure colors (red / green / blue) become a mixture of colors when they turn rough to jpeg?

In trying to understand how the raw material is converted into JPEG format, I created an unformatted synthetic image that has a red, green and blue gradient strip (with a gamma of 2.2). When I convert it to jpeg, I would expect it to retain pure colors and look like the image below:

Expected result

Then I used lightroom and lightzone to convert this image to jpeg in the default setting with the white balance set to daylight, but I got these results, where especially red and blue contain other colors and theirs.

Lightroom:

Lightroom's picture

Light zone:

Image of the light zone

My understanding of white balance was that it was just a number to multiply each color, but not mix them. That seems to be wrong, so I wish someone could explain what is happening.


You can download my synthetic image from here if you want to examine it.

Red / yellow scale, is the following scheme true?

So I was looking in this tutorial on red scale

There the following scheme for an Iso200 film is presented.
Is it true that setting the camera's iso can configure the color as:

  • 200 iso redscale
  • 100 iso yellow scale
  • 50 iso in grayscale
  • 25 normal iscale

enter the description of the image here

combinatorial – probability that a blue ball will be taken before the red ones

A box contains 1 blue, 2 red and 3 green balls. The balls are taken at
randomized with replacement and the colors of the balls are recorded. What is the probability
that a blue ball is taken before the red ones?

This is how I addressed this problem:

We have 20 of 60 permutations that the blue ball is placed before the 2 red ones:

This is how I calculated it:

When the blue ball is in the first position, we have 5! / 3! two! = 10 ways to place the green and red balls between them, then we do it for the blue ball in 2nd, 3rd, 4th, with 6.3.1 ways respectively. We have 6! / 3! two! total permutations of the 6 balls. Then P (blue before red) = (10 + 6 + 3 + 1) / 60 = 1/3.

Is this the right way to do it? Could you give me a hint of what is not right?

Windows application – Red Giant Shooter Suite 13.1.9 | NulledTeam UnderGround

Red Giant Shooter Suite 13.1.9 (x64) | 264 MB

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Convert video to 4K resolution and other high resolution formats.
– Better results than the scaling tools provided by host applications.
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Deinterlace your previous footage and convert it to 24P.
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Shooter Suite 13 includes four products, including the new PluralEyes 4, our indispensable tool for synchronizing audio / video in seconds, and works with any non-linear editor. Shooter Suite also includes Offload, Instant 4K and Frames. This update includes many new features in Red Giant PluralEyes, as well as the integration between PluralEyes 4 and Offload.
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Color management: why does green gain affect blue and red values ​​on a CMOS sensor with individual gain control?

I am taking photos of small surfaces (5 x 5 mm) in an experimental setting with an identification camera that contains a CMOS sensor. Then, the images are divided into 3 color channels (red, green, blue) for further processing.

Before starting to evaluate the images, my boss asked me to find out how the different camera settings affect the images that are taken. The camera parameters allow you to individually configure the gains for the overall brightness, as well as for each individual color (red, blue green). It is said that any of these gains takes place inside the camera (analog gain, according to the manual), not in the software.

Then we observe something we do not understand, maybe someone around here can help: every time we change the configuration of an individual color channel (for example, the gain of the green signal), the value of this signal changes proportionally. So far so good. The bad thing is: The other 2 channels (which we expected not to be affected at all) reduced their values ​​significantly by increasing the gain for the green channel.

Can anyone tell us, why is that the case, if it is a habitual behavior, or how could we prevent the red and blue signals from being affected by the gain of the green color?

Additional information: White balance is disabled (this setting allows me to adjust the individual color gains first).
The camera model is "UI-3280CP", version "C-HQ" (Color – High Quality) by "IDS", the sensor is a CMOS sensor with global shutter called "IMX264".

Additional information: The decrease in "blue" and "red" colors stopped as soon as the green color became saturated (reached 255):

sensor – CMOS camera with individual gains for red, green and blue – Why does the green gain affect the blue and red value?

I am taking photos of small surfaces (5 x 5 millimeters) in an experimental setting with an identification camera that contains a CMOS sensor. Then, the images are divided into the 3 color channels (red, green, blue) for further processing.

Before starting to evaluate the images, my boss asked me to discover how the different camera settings affect the images that are taken. The camera parameters allow you to individually configure the gains for the overall brightness, as well as for each individual color (red, blue green). It is said that any of these gains takes place inside the camera (analog gain, according to the manual), not in the software.

Then we look at something we don't understand, maybe someone around here can help: every time we change the settings of an individual color channel (for example, the gain for the green signal), the value of this signal changes proportionally. So far so good. The bad thing is: The other 2 channels (which we expected not to be affected at all) reduced their values ​​significantly along the increase in the gain for the green channel.

Can anyone tell us why this is so, whether it is habitual behavior or how can we prevent the red and blue signals from being affected by the gain of the green color?

Additional information: White balance is disabled (this setting allows me to adjust the individual color gains first).
The camera model is "UI-3280CP" by "IDS", the sensor is a global shutter CMOS sensor called "IMX264".