What does viewing at 100% mean?

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What does viewing an image at 100% actually mean? Thanks.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.

So 100% view means the image is displayed so that each pixel of the image is displayed without any up-scaling or downscaling. Ordinarily, because digital photos are about 15-20 megapixels and computer displays are about 2 megapixels, digital photos must be scaled down in order to be displayed. In 100% view, you only see about ten percent of the image, but it's displayed without being up or down scaled.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:

On the sensor

On the sensor

On the display

On the display

--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
 
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You can't try to register the Bayer array with the output device. The image is first converted to a virtual 6000x4000 pixel image, then you can make an attempt at registration.
 
You can't try to register the Bayer array with the output device. The image is first converted to a virtual 6000x4000 pixel image, then you can make an attempt at registration.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.

Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:

In the camera

In the camera

On cumputer screens

On cumputer screens

--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
Sure. What you're displaying is the sub-pixel structure. In both cases, these combine to form pixels. An image sensor can only record luminance -- it basically counts or measures how many photons hit a given photo site, or sub-pixel area. A color filter like the one you show is placed above the sensor so that a given sub-pixel counts only red, green or blue. Math must be applied to create the individual pixels. But those computed pixels are the actual pixels of the image; when the camera advertises XX megapixels, that's what they're referring to, not the sub-pixels. I know that it seems weird that there's more green than red and blue, but that's the nature of how our vision and image sensors work that capturing more green data and averaging the blues and reds produces optimal image quality.
 
You can't try to register the Bayer array with the output device. The image is first converted to a virtual 6000x4000 pixel image, then you can make an attempt at registration.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.

Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
 
Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
I've displayed images of al types on a variety of screens. I've never experienced the difficulties that you mention.
 
You can't try to register the Bayer array with the output device. The image is first converted to a virtual 6000x4000 pixel image, then you can make an attempt at registration.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.

Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
 
Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
I've displayed images of al types on a variety of screens. I've never experienced the difficulties that you mention.
It is a well known drawback of e.g. Pentile displays.

These screens have slightly different virtual pixel resolution (1280 vs 960) but still it may communicate the point in question. How much higher dot resolution does the right screen need to match the left one?
These screens have slightly different virtual pixel resolution (1280 vs 960) but still it may communicate the point in question. How much higher dot resolution does the right screen need to match the left one?

--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
 
What does viewing an image at 100% actually mean? Thanks.
Let's move away from the technical discussions of implementation details.

Viewing an image at 100%, generally means that there are no additional image details to be displayed by further magnification.

When displaying less than 100%, multiple image pixels are merged together. Very fine details may not be displayed. Below 100%, additional image details will be displayed with each increase in magnification.

Once you reach 100%, there are no additional image details to be displayed with further magnification. Above 100% you are taking individual image pixels and displaying them across a larger area. If you look closely, images above 100% may appear soft, blotchy, or pixelated.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:

On the sensor

On the sensor

On the display

On the display

--
LOL. Yes, that clearly shows what I was talking about. READING THE @#$% ARTICLE would help?
 
You can't try to register the Bayer array with the output device. The image is first converted to a virtual 6000x4000 pixel image, then you can make an attempt at registration.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.

Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.

--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
Oh, I see. You weren't actually asking a question, you were trolling. No point in wasting any more time here.
1. Chuxter posted this entirely correct statement, including a wikipedia quote

It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel

2. You replied

"I don't understand what you're saying. A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel."

3. I provided illustrated examples of dot arrangements

which may help you understand chuxter's post.
I agree. MarshallG you are off base here and should learn from this episode.
 
Due to different subpixel distributions a 1:1 mapping is not always possible. It is not even possible to assign an umambiguous 1:1 scaling as different kinds of artifacts may emerge at different scales.
I've displayed images of al types on a variety of screens. I've never experienced the difficulties that you mention.
You had screens that worked well. My point and the point of the referenced article is that this is not always possible. You should be learning, not complaining.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG file used on a web page) may or may not be in one-to-one correspondence with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:

In the camera

In the camera

On cumputer screens

On cumputer screens

--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
Sure. What you're displaying is the sub-pixel structure. In both cases, these combine to form pixels. An image sensor can only record luminance -- it basically counts or measures how many photons hit a given photo site, or sub-pixel area. A color filter like the one you show is placed above the sensor so that a given sub-pixel counts only red, green or blue. Math must be applied to create the individual pixels. But those computed pixels are the actual pixels of the image; when the camera advertises XX megapixels, that's what they're referring to, not the sub-pixels. I know that it seems weird that there's more green than red and blue, but that's the nature of how our vision and image sensors work that capturing more green data and averaging the blues and reds produces optimal image quality.
The issue is that not all RGB structures used in computer and TV displays work the same and often, there are strange artifacts created when trying to display a 1:1 image. It may be a small, insignificant point, but I thought the OP should know this. Apparently you objected to my raising this issue? Why?
 
What does viewing an image at 100% actually mean? Thanks.
Let's move away from the technical discussions of implementation details.

Viewing an image at 100%, generally means that there are no additional image details to be displayed by further magnification.

When displaying less than 100%, multiple image pixels are merged together. Very fine details may not be displayed. Below 100%, additional image details will be displayed with each increase in magnification.

Once you reach 100%, there are no additional image details to be displayed with further magnification. Above 100% you are taking individual image pixels and displaying them across a larger area. If you look closely, images above 100% may appear soft, blotchy, or pixelated.
My experience is that they appear pixelated, like this:





Only when the image "pixel" and the display "pixel" are the same do you find strange artifacts. Thus, going well beyond 1:1 will always display a pixelated image. How could it be any other way?
 

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What does viewing an image at 100% actually mean? Thanks.
Let's move away from the technical discussions of implementation details.

Viewing an image at 100%, generally means that there are no additional image details to be displayed by further magnification.

When displaying less than 100%, multiple image pixels are merged together. Very fine details may not be displayed. Below 100%, additional image details will be displayed with each increase in magnification.

Once you reach 100%, there are no additional image details to be displayed with further magnification. Above 100% you are taking individual image pixels and displaying them across a larger area. If you look closely, images above 100% may appear soft, blotchy, or pixelated.
My experience is that they appear pixelated, like this:



Only when the image "pixel" and the display "pixel" are the same do you find strange artifacts. Thus, going well beyond 1:1 will always display a pixelated image. How could it be any other way?
What you display is a common presentation for images displayed at greater than 100%.

Some software (For instance Photoshop) may display some separation between the individual image pixels



Photoshop display of an image at 1,600%
Photoshop display of an image at 1,600%



Some software may attempt to smooth out the pixels. In essence it may attempt to "up-rez" the image.



The actual presentation can vary. However, this is a side detail of understanding what is meant by viewing at 100%. The key point is that "viewing at 100%" generally means that there is a one to one mapping between the pixels in the image, and the "pixels" of the display. As others have pointed out, the implementation of "Display pixels" can vary.
 
What does viewing an image at 100% actually mean? Thanks.
It means viewing an image at such a size that one pixel on the image = one pixel on the display. This is a little difficult because most displays don't have "pixels", but rather dots.

This article says, "The pixels, or color samples, that form a digitized image (such as a JPEG _file used on a web page) may or may not be in one-to-one correspondence_ with screen pixels, depending on how a computer displays an image."

https://en.wikipedia.org/wiki/Pixel
I don't understand what you're saying.

A pixel on a display is made up of three Red, Green and Blue sub-pixels. The three together form one pixel. It's not more complicated than that for PC graphics. Dot = Pixel.
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:
 

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