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Computer vision for image quality assessment - Essay Example

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The process of image quality assessment where a baseline image is used is called as the Full reference (FR) method. The baseline image is assumed to have…
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Computer vision for image quality assessment
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Computer vision for image quality assessment

Image quality assessment is a significant issue as the modern imaging systems has a tendency to introduce artefacts or distortion in the signal (Wang, & Bovik, 2006).
The entire process of capture and development of an image is a result of two steps. The first step is the capturing of image by a photographic process. The ideal photographic process is standardised with reference of a pinhole camera. The pinhole camera is a hardware apparatus, which has light reflected from the intended subject passing through the aperture and falling on the plane of image. In practical applications, the camera approximates the ideal pinhole camera image capture process. Ideally, the developed image should exactly capture the amount of light falling on the each part of the image plane of the camera, whether the image is developed chemically (traditional) or digitally (Modern). The second step consists of the processing of the amount of light falling on the image plane. Ideally, the second step should perfectly measure the amount of light falling on different parts of the image plane and hence reproducing the photograph exactly as per the depicted scene, whether on a paper or in the soft copy.
In practice, some amount of distortion takes place in each step mentioned in the previous paragraph. The practical cameras are an approximation of the ideal pinhole camera. Thus, the amount of light falling on the image plane is not exactly as reflected by the depicted scene. Similarly, the processing of the image by the measurement of the amount of light in the different areas of image plane is not perfect. The image storing & transmission process may also distort the quality of image. For example, a digital image, which has been compressed, transmitted and decompressed, would not have same quality as the original. Thus, the measurement of the image quality would be the ... Read More
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