Static image format conversion for advanced multimedia

The requirements and taxonomy of still image conversion problems for advanced multimedia applications are indicated. Sophisticated signal processing algorithms are studied for some static image format conversion problems without motion dependence. The main quality problems in this area are identified, and improved algorithms are proposed. These algorithms are designed from the perceptual point of view to eliminate blurring, flickering, and information loss in operations such as zooming, aspect ratio change, and progressive-to-interlace conversion. Test results confirm the improved performance of these algorithms compared with the existing methods.<>