Name
Title | ||
|---|---|---|
Construction Of High Dynamic Range Image Based On Gradient Information Transformation |
Abstract | ||
|---|---|---|
This study proposes a fusion method for high dynamic range images based on gradient information transformation. In the proposed work, the authors first measure the three exposure weights of the source images, namely, local contrast, luminance and spatial structure. Then, the exposure weights are merged through a multi-scale Laplacian pyramid scheme. For the weight maps measurement, the dense scale-invariant feature transform method is used to calculate the local contrast around each pixel location, rather than a single pixel. The image luminance levels are computed in the gradient domain to get more visual information and the authors leverage the dictionary learning to effectively extract the luminance of images. Additionally, to better preserve the spatial structure of the source images, the just-noticeable-distortion technique is employed. By comparing the experimental results both subjectively and objectively, it is evident that the proposed method represents an improvement over some exciting methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1049/iet-ipr.2019.0118 | IET IMAGE PROCESSING |
Keywords | DocType | Volume |
image colour analysis, transforms, feature extraction, image fusion, gradient methods, local contrast, image luminance levels, gradient domain, visual information, spatial structure, source images, high dynamic range image, gradient information transformation, fusion method, exposure weights, multiscale Laplacian pyramid scheme, weight maps measurement, dense scale-invariant feature, just-noticeable-distortion technique | Journal | 14 |
Issue | ISSN | Citations |
7 | 1751-9659 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yan liu | 1 | 0 | 0.34 |
| Dongming Zhou | 2 | 374 | 67.74 |
| Rencan Nie | 3 | 46 | 10.43 |
| Ruichao Hou | 4 | 3 | 2.06 |
| zhaisheng ding | 5 | 3 | 1.72 |