2015/10/02 by Stamos Katsigiannis, Katsigiannis, Stamos, Γεώργιος Παπαϊωάννου +3
Computer Science · Engineering · #Advanced Data Compression Techniques #Advanced Image Fusion Techniques #FOS: Computer and information sciences #Image and Signal Denoising Methods #Multimedia (cs.MM)
paper · pdf · doi:10.48550/arxiv.1510.00561
openalex publication_date 2015/10/02 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
Nowadays, real-time video communication over the internet through video\nconferencing applications has become an invaluable tool in everyone's\nprofessional and personal life. This trend underlines the need for video coding\nalgorithms that provide acceptable quality on low bitrates and can support\nvarious resolutions inside the same stream in order to cope with limitations on\ncomputational resources and network bandwidth. In this work, a novel scalable\nvideo coding algorithm based on the contourlet transform is presented. The\nalgorithm utilizes both lossy and lossless methods in order to achieve\ncompression. One of its most notable features is that due to the transform\nutilised, it does not suffer from blocking artifacts that occur with many\nwidely adopted compression algorithms. The proposed algorithm takes advantage\nof the vast computational capabilities of modern GPUs, in order to achieve\nreal-time performance and provide satisfactory encoding and decoding times at\nrelatively low cost, making it suitable for applications like video\nconferencing. Experiments show that the proposed algorithm performs\nsatisfactorily in terms of compression ratio and speed, while it outperforms\nstandard methods in terms of perceptual quality on lower bitrates.\n