Data modeling augmentation of JPEG for real-time streaming video

Abstract

This paper explores sub-sampling in conjunction with JPEG compression algorithms. Rather than directly compressing large high-resolution images, we propose decimation to thumbnails followed by compression. This enables Redundant Array of Independent Disks (RAID) compression and facilitates real-time streaming video with small bandwidth requirements. Image reconstruction occurs on demand at the receiver to any resolution required using Data Modeling based fractal interpolation. The receive side first uncompresses JPEG and then fractal interpolates to any required resolution. This device independent resolution capability is useful for real-time sharing of image data across virtual networks where each node has a different innate resolution capability. The same image is constructed to whatever limitations exist at each individual node, keeping image data device independent and image resolution scalable up or down as hardware/bandwidth limitations and options evolve.