Definition
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The intrinsic image resolution is the largest size at which
an image shows no quality degradation and is of excellent quality. |
Wrong focus, graininess, processing artefacts can detract from the appeal of an image.
Size matters. Viewing an image at a smaller size or zoom factor, can make degradation artefacts less visible and annoying, improving the image's perceived quality. |
What are image quality degradations?
Degradations make an image look unpleasant, and low-fidelity.
The degradations shown are intentionally exaggerated to a level that would be considered almost always unpleasant, even if the image is shrunk substantially. This means that the intrinsic resolution of the distorted images is in fact very low. Under normal circumstances, degradations are much less obvious. |
Before
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How to assess the intrinsic resolution
In the following examples, each line shows crops taken from the same source image. Each crop is extracted after previously zooming out (downscaling) the source image by a different amount. You can often notice strong degradations at the original size (leftmost), whereas the lowest resolution is of excellent quality (rightmost image). The INTRINSIC resolution is often somewhere in between.
Note: it is best to view each image as is, do not click to enlarge.
Note: it is best to view each image as is, do not click to enlarge.
Participating in the experiment
You will annotate images using a browser-based interface (Zovi). This allows browsing a collection of images, zooming to select the intrinsic resolution for each, and submitting the selection automatically.
Zovi controlsZoom: use the zoom slider at the top of the screen
Pan: click and drag the image Next image: press the green arrow buttons or the right arrow key. |
Steps to complete the work
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2. Select the intrinsic resolution
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The intrinsic resolution is determined by the largest zoom-level at which
the image quality is excellent, and no annoying defects are visible. I takes about 15 seconds to find the intrinsic resolution/zoom for each image. Thank you for participating in our study! |