Name
Abstract | ||
|---|---|---|
Image scaling is an important technique that is widely used in many image processing applications. This paper presents a novel scaling algorithm for the implementation of 2-D image scalar. The proposed interpolation method is based on the interpolation error theorem often mentioned in numerical analysis. A bilateral error-amender is used to make the interpolation more precise, and an edge-weighted scheme enhances the edge features of the scaled images. Extensive experimental results demonstrate that the proposed method can obtain better performance than previous methods in both quantitative evaluation and visual quality. This paper also presents an efficient very large-scale integrated architecture for the proposed method. The cooperation and hardware sharing techniques greatly reduce hardware cost requirements. Using a nine-stage pipeline, the proposed scaling circuit contains 13 k gate counts and yields a processing rate of approximately 278 MHz using TSMC 0.13- $\mu{\rm m}$ technology. The hardware cost of the proposed circuit is low, making it a good candidate for high-quality image scaling applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TCSVT.2012.2202080 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
interpolation,vlsi,real time systems | Computer science,Interpolation,Scalar (physics),Image processing,Real-time computing,Artificial intelligence,Computer engineering,Scaling,Very-large-scale integration,Computer vision,Chip,Numerical analysis,Image scaling | Journal |
Volume | Issue | ISSN |
22 | 10 | 1051-8215 |
Citations | PageRank | References |
5 | 0.46 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chien-Chuan Huang | 1 | 54 | 4.98 |
| Pei-Yin Chen | 2 | 314 | 38.47 |
| Ching-Hsuan Ma | 3 | 5 | 0.46 |