UAH researchers have developed a highly efficient approach to compress geometrically transformed images in a distributed environment, with compression efficiencies an order-of-magnitude higher than those achieved by using the state-of-the-art techniques, such as JPEG and H.264. The Peak Signal to Noise Ratio (PSNR) is improved as well.
This approach, called the Random Projection Approach treats the fundamental problem of inter-image correlation exploitation by using the Dimensionality Reduction methodology.