About this Computer Science article
A General Comparative Study of the Multiplicative Homomorphic, Log-ratio and Logarithmic Image Processing Approaches by Jean-Charles Pinoli is a Computer Science article available to read on EtoBox.
This article presents a comparative study of the multiplicative homomorphic image processing (MHIP), the log-ratio image processing (LRIP) and the logarithmic image processing (LIP). These three image processing approaches are based on abstract linear mathematics and provide specific operations and structures that have opened up new pathways to the development of image processing techniques. The MHIP approach was designed for the processing of multiplied images, the LRIP approach was introduced to overcome the out-of-range problem associated with many image processing techniques, while the LIP approach was developed for the processing of images valued in a bounded intensity range. First, it is claimed that an image processing framework must be physically relevant, mathematically consistent, computationally tractable and practically fruitful. It is also pointed out that the classical linear image processing (CLIP) is not adapted to non-linear and/or bounded range images or imaging systems, such as transmitted light images, practical digital images or the human brightness perception system. Then, the importance and usefulness of several mathematical fields, such as abstract linear al
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- Author
- Jean-Charles Pinoli
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-1684)
- Published
- 1997
- Language
- EN
- Field
- Computer Science (Physical Sciences)