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You could use python and one of a number of libraries, (such as SciPy/Numpy), to get a measure of the noise in the image as shown in the answer to this Stack Overflow question. Some of the same libraries and also perform image scaling and denoise e.g. SciKit Image has both denoise and scale image functions. You could also take a look at the python ...


0

Richard, IMHO you mix a little bit things. You need magnification of the lens. And most of the kit lens have magnification 1:5 which is 0.2 and it's enough to see the hair on the image. I find in one old answer here, in StackExchange formula you can use to calculate how big will be in sense of pixels one real object: How do I calculate the distance of an ...


0

Perhaps some technically brilliant photographers could make images with 35mm film to rival those of todays 16.7+ Mp cameras. That is hardly relevant. Most people will get better images overall with any digital camera of 4Mp or more, than they could ever get with film. Heck ... most people get better photos from the tiny sensors on their smartphones than ...


1

The issue you are encountering is that the aspect ratio of the original image is different to the aspect ratio of your target image dimensions. Source image 5184x3456 pixels Aspect Ratio: 1.5 (5184/3456) Target size 620x378 pixels Aspect Ratio: 1.64 (620/378) This means that to make the source image fit the target size you'll have to reduce the ...


3

The problem you're having is that the images you've been supplied have an aspect ratio of 1.5:1 (5184/3456 = 1.5), but you're trying to resize them to an aspect ratio of 1.64:1 (620/378 ~ 1.64). Hence you're going to have to chop some pixels off the top and/or bottom of the images you've been supplied to get to make them to the wider aspect ratio you need. ...



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