Image restoration and image enhancement are key computer vision tasks aiming at the restoration of image contents and/or filling in missing contents from corrupted or incomplete images. Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved.
Each step forward eases the use of images by people or computers for the fulfillment of further tasks, with image restoration or enhancement serving as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis. The emergence and ubiquitous adoption of mobile and wearable devices offer another fertile ground for additional applications and demand for efficient methods.
This workshop aims to provide an overview of the new trends and advances in the intriguing areas of image restoration and enhancement research. Moreover, it will be a welcome meeting place and an opportunity for academic and industrial attendees to interact and explore further collaborations.
Papers addressing image restoration and enhancement and related topics are invited. The topics include, but are not limited to:
- Image inpainting
- Image deblurring
- Image denoising
- Image upsampling and super-resolution
- Image filtering
- Image dehazing
- Image enhancement: brightening, color adjustment, sharpening, etc.
- Image-quality assessment
- Video processing
- Hyperspectral imaging
- Studies and applications of the above.
The NTIRE organizers prepare also a Special Issue on "Vision and Computational Photography and Graphics" for Elsevier's CVIU journal. (Submission deadline is February 14, 2017)