Image enhancement using a contrast measure in the compressed domain

By Jinshan Tang, Eli Peli, Scott Thomas Acton. IEEE Signal Processing Letters, 2003

366 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/36c6d978eb344b5cdadfc8452bcf218f632991b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Chen Gao
2. Karen A. Panetta
3. Blair Silver
4. Sos S. Agaian
5. Pamela C. Cosman
6. Yan-Tsung Peng
7. Tardi Tjahjadi
8. Turgay Çelik

Citations in the corpus

• Human-Visual-System-Inspired Underwater Image Quality Measures (2016, methodology): “Correspondingly, the UISM accurately selects the MCE result as the one with the optimal sharpness.”
• Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy (2007, methodology): “This method of scanning parameters versus EME values can be extended to include any variable in an enhancement technique including those mentioned in this paper.”