Super-resolution imaging
Computational Photography: Methods and Applications, CRC, Ghent, Belgium , ss.175-208, 2017
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2017
- Doi Numarası: 10.1201/b10284
- Yayınevi: CRC, Ghent, Belgium
- Sayfa Sayıları: ss.175-208
- İstanbul Medipol Üniversitesi Adresli: Evet
Özet
Super-resolution (SR) image restoration is the process of producing a high-resolution image (or a sequence of high-resolution images) from a set of low-resolution images [1], [2], [3]. The process requires an image acquisition model that relates a high-resolution image to multiple low-resolution images and involves solving the resulting inverse problem. The acquisition model includes aliasing, blurring, and noise as the main sources of information loss. A super-resolution algorithm increases the spatial detail in an image, and equivalently recovers the high-frequency information that is lost during the imaging process.