A computational approach to image quality
| Autor: | Tjwm Ruud Janssen, Fjj Frans Blommaert |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Flexibility (engineering)
Computer science business.industry Image quality media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Machine learning computer.software_genre Image (mathematics) Human-Computer Interaction Discriminative model Hardware and Architecture Perception Metric (mathematics) Identifiability Quality (business) Artificial intelligence Electrical and Electronic Engineering business computer media_common |
| Zdroj: | Displays. 21:129-142 |
| ISSN: | 0141-9382 |
| Popis: | We present a concept for image quality that is based on a definition of quality in terms of the degree to which something satisfies the requirements imposed on it. An answer to the question what image quality is, must therefore necessarily include answers to the questions: what are images, what are images used for, and what are the requirements which the use of images imposes on them. In this paper, we therefore start by formulating answers to these questions. To this end, we distinguish two main requirements, which are imposed upon images. First, the items in the image should be successfully discriminable and, second, the items in the image should be successfully identifiable. Based on the concept of (partially) flexible metrics presented in Ref. (Visual metrics: discriminative power through flexibility. Perception 2000), we then formulate algorithms for predicting discriminability, identifiability, and overall performance. To demonstrate the validity of this concept, we compare predictions made with these algorithms with experimentally obtained judgments of human subjects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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