Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...
This paper presents a postprocessing technique based on the theory of projections onto convex sets (POCS) to reduce the blocking artifacts in low bit rate BDCT-coded images. In the...
Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko
In this paper, a digital image watermarking technique based on Discrete Wavelet Transform (DWT) will be proposed. This scheme is designed utilizing principles deriving from the hu...