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Image quality can be assessed using two methods: subjective and objective. Subjective methods are based on the perceptual assessment of a human viewer about the attributes of an image or set of images, while objective methods are based on computational models that can predict perceptual image quality.
Full-Reference Quality Metrics Mean-squared error (MSE). MSE measures the average squared difference between actual and ideal pixel values. This metric is simple to calculate but might not align well with the human perception of quality. Peak signal-to-noise ratio (pSNR).
The resolution of a digital image is measured using its pixels; specifically in pixels per inch (PPI). For printing, picture resolution is measured by dots per inch (DPI), referring to the tiny droplets of ink that printers create.
Imatest charts and software allow you to measure the characteristics and quality of cameras and imaging systems. To begin measuring the resolution or color of your camera, youll need an image of a test chart. Imatest offers all-in-one test charts that can test a wide variety of image quality factors with one image.
On your computer, right-click on the image and then select Properties. A window will appear with the images details. Go to the Details tab to see the images dimensions and resolution. Resolution should be at least 300 PPI or 300 DPI to be considered hi-res.