Translating distortion measures to an multi-resolution spaces for image analysis
Main Article Content
A method for calculating a Quality Index (Quality Index - QI) in images, which is the linear combination of three measures of perceptual distortion based on Human Visual System is presented. These three measures are projected to a multi - resolution space with operators in wavelet space, in which extraction of features such as homogeneity, contours and edges is carried out. To validate the method, the calculated QI is contrasted with an arithmetical mean observation score, which is determined experimentally on a standard set of images. The results show that the multi - resolution techniques allow a more appropriate description of the perceptual metric, reducing the computation time, as long as measurements are a priority over the details. Likewise, measurement processes are calculated on the same representation space, avoiding additional processing to extract features. This quality index is used in a face detection application to define the minimum distortion condition to classify images.
- Ricardo Alzate Castaño, German Castellanos Domínguez, Realización para un DSP de Aplicaciones en Tiempo Real , Ingeniería y Competitividad: Vol. 6 No. 1 (2004)
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