Restoration of differential images for enhancement of compressed video
β Scribed by Junghoon Jung; Shichang Joung; Jeongho Shin; Joonki Paik
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 439 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1047-3203
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A novel framework of real-time video enhancement is proposed. The proposed framework is based on the regularized iterative image restoration algorithm, which iteratively removes degradation effects under a priori constraints. Although regularized iterative image restoration is proven to be a success
form-based (DCT-based) coding algorithms (e.g., the A novel postprocessing method based on the optimal shift-JPEG standard for still image compression [1]). The invariant wavelet packet (SIWP) representation and wavelet enhancement of compressed images has been regarded as shrinkage is proposed to e
With the development of high performance desktop computers and workstations, software encoding and decoding of video using a variety of standard and non-standard compression techniques has attracted increased attention recently. New and more powerful processors hold the promise of high speed video e
generation; i.e., instead of generating an image from a given formula, image compression searches for sets of frac-Iterated function systems (IFS) have been used to compress image data. Because of difficulty in finding IFS in natural tals in a digitized image which describe and represent the images,