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Automatic enhancement of noisy image sequences through local spatio-temporal spectrum analysis (1999).
| Content Provider | CiteSeerX |
|---|---|
| Author | Nestares, Oscar |
| Abstract | A fully automatic method is proposed to produce an enhanced image from a very noisy sequence consisting of a translating object over a background with different translation motion. The method is based on averaging registered versions of the frames in which the object has been motion compensated. Conventional techniques for displacement estimation are not adequate for these very noise sequences, and thus a new strategy has been used taking advantage of the simple model of the sequences. First, the local spatio-temporal spectrum is estimated through a bank of multidirectional/multiscale third order Gaussian derivative filters, yielding a representation of the sequence that facilitates further processing and analysis tasks. Then, energy-related measurements describing the local texture and motion are easily extracted from this representation. These descriptors are used to segment the sequence based on a local joint measure of motion and texture. Once the object of interest has been segmen... |
| File Format | |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Noisy Image Sequence Local Spatio-temporal Spectrum Analysis Automatic Enhancement Energy-related Measurement Different Translation Motion Noise Sequence Simple Model Registered Version Displacement Estimation Automatic Method Local Texture Conventional Technique Local Spatio-temporal Spectrum Noisy Sequence Consisting Analysis Task Local Joint Measure Translating Object New Strategy Enhanced Image |
| Content Type | Text |
