Name
Abstract | ||
|---|---|---|
An image enhancement algorithm based on a neighborhood dependent nonlinear model is presented to improve visual quality of digital images captured under extremely non-uniform lighting conditions. The paper presents techniques for adaptive and simultaneous intensity enhancement of extremely dark and bright images, contrast enhancement, and color restoration. The core idea of the algorithm is a nonlinear sine transfer function with an image dependent parameter. Adaptive computation of the control parameter increases flexibility in enhancing the dark regions and compressing overexposed regions in an image. A neighborhood dependent approach is employed for contrast enhancement. A linear color restoration process is used to obtain color image from the enhanced intensity image by utilizing the chromatic information of the original image. It is observed that the proposed algorithm yields visually optimal results on images captured under extreme lighting conditions, and also on images with bright and dark regions. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13772-3_3 | ICIAR |
Keywords | Field | DocType |
image enhancement algorithm,enhanced intensity image,dark region,bright image,digital image,color image,neighborhood dependent nonlinear technique,color image enhancement,simultaneous intensity enhancement,image dependent parameter,original image,contrast enhancement,dynamic range,transfer function | Computer vision,Image gradient,Color histogram,Chromatic scale,Pattern recognition,Computer science,Binary image,Digital image,Artificial intelligence,Image restoration,Computation,Color image | Conference |
Volume | ISSN | ISBN |
6111 | 0302-9743 | 3-642-13771-7 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rupal Patel | 1 | 45 | 7.47 |
| Vijayan K. Asari | 2 | 782 | 107.90 |