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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.What does viewing an image at 100% actually mean? Thanks.
Could you consider what else it could possibly mean?What does viewing an image at 100% actually mean?
I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
Please point out what the individual pixels are and how they are unambiguously mapped 1:1:I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
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.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.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.
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.Please point out what the individual pixels are and how they are unambiguously mapped 1:1:I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
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.
![]()
In the camera
![]()
On cumputer screens
--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.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.
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.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.
Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.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.
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.
It is a well known drawback of e.g. Pentile displays.I've displayed images of al types on a variety of screens. I've never experienced the difficulties that you mention.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.

Let's move away from the technical discussions of implementation details.What does viewing an image at 100% actually mean? Thanks.
LOL. Yes, that clearly shows what I was talking about. READING THE @#$% ARTICLE would help?Please point out what the individual pixels are and how they are unambiguously mapped 1:1:I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
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.
![]()
On the sensor
![]()
On the display
--
I agree. MarshallG you are off base here and should learn from this episode.1. Chuxter posted this entirely correct statement, including a wikipedia quoteOh, I see. You weren't actually asking a question, you were trolling. No point in wasting any more time here.Yes, first the sensor data is interpreted to from a virtual image and then the image is interpreted again to be displayed on screen.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.
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)
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.
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.I've displayed images of al types on a variety of screens. I've never experienced the difficulties that you mention.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.
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?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.Please point out what the individual pixels are and how they are unambiguously mapped 1:1:I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
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.
![]()
In the camera
![]()
On cumputer screens
--
Every thing has already been photographed - but not yet by everyone. (Karl Valentin)
My experience is that they appear pixelated, like this:Let's move away from the technical discussions of implementation details.What does viewing an image at 100% actually mean? Thanks.
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 you display is a common presentation for images displayed at greater than 100%.My experience is that they appear pixelated, like this:Let's move away from the technical discussions of implementation details.What does viewing an image at 100% actually mean? Thanks.
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.
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?

Please point out what the individual pixels are and how they are unambiguously mapped 1:1:I don't understand what you're saying.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.What does viewing an image at 100% actually mean? Thanks.
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
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.