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Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.
A picture's encyclopedic value (referred to as "EV") is given priority over its artistic value. [3] Is verifiable. It is supported by facts in the article or references cited on the image page, or is from a source noted for its accuracy. It is not created to propose new original research, such as unpublished ideas or arguments.
In computer graphics, the enhancement of an image is the process of improving the quality of a digitally stored image by manipulating the image with software. It is quite easy, for example, to make an image lighter or darker, or to increase or decrease contrast.
Image quality assessment is part of the quality of experience measures. 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 ...
Poor-quality images—dark or blurry; showing the subject too small, hidden in clutter, or ambiguous; and so on—should not be used unless absolutely necessary. Think carefully about which images best illustrate the subject matter. For example: An image of a white-tailed eagle is useless if the bird appears as a speck in the sky.
Image fidelity, often referred to as the ability to discriminate between two images [1] or how closely the image represents the real source distribution. [2] Different from image quality, which is often referred to as the subject preference for one image over another, image fidelity represents to the ability of a process to render an image accurately, without any visible distortion or ...