Abstract:
A method for compressing images uses artificial intelligence and neural-network-based techniques to convert digital image data into symbolic data. The symbolic data is then further compressed using, for example, run-length-limited coding. The result is compressed data that represents the original image data at a high compression ratio. Such high compression ratios are useful, for example, in medical diagnostic and high-definition television applications.
Abstract:
An imaging recording method and an apparatus for its implementation, including applying a light to an image to produce imaged light, passing the imaged light through a filter unit to provide filtered light, and recording the filtered light on an optical detector to produce a recorded image. The filter unit includes a first filter and a second filter. The first filter is polarization selective and the second filter is wavelength selective.
Abstract:
Image calibration is performed for an image display apparatus. A known image is scanned with the image scanning apparatus using a first scanning resolution of the image scanning apparatus to obtain a scanned known image. The scanned known image is displayed on the image display apparatus using the first scanning resolution as a displayed known image. The image display apparatus is adjusted such that the displayed known image is an exact replica of the known image.