Abstract
Demosaicking is the process of reconstructing the full color image from its mosaic version on a Bayer pattern. It is an integral part of the image processing pipeline for single sensor digital color cameras. Demosaicking algorithms based on residual interpolation are interesting because they produce competitive results with a low computational complexity. In this article, we provide an analysis and careful implementation of the most relevant residual based demosaicking algorithms. Our contribution is twofold. First, we present an analysis of the mathematical principles of demosaicking algorithms from the Hamilton-Adams interpolation to the recent “adaptive residual interpolation”. Our analysis untangles the relations of these algorithms and how each is improving on the preceding ones. Lastly, we provide a comparison between most recent state of the art methods on several image data sets and discuss their performances.
| Original language | English |
|---|---|
| Pages (from-to) | 234-283 |
| Number of pages | 50 |
| Journal | Image Processing On Line |
| Volume | 11 |
| Early online date | 27 Jul 2021 |
| DOIs | |
| Publication status | Published - 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 IPOL & the authors CC–BY–NC–SA.
Funding
Jin has been supported by the National Natural Science Foundation of China (Grants No. 61661039, No.61661040, No. 61661038), and Jin was also supported by the China Scholarship Council for a one year visiting at École Normale Supérieure Paris-Saclay (No. 201806810001).
Keywords
- Bayer color filter array
- Demosaicking
- Guided filter
- Residual interpolation
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