In this paper we will compare compensation algorithms for raw image sensor data. We propose a new approach based on the sparsity assumption that outperforms ...

A new approach based on the sparsity assumption that outperforms existing defect compensation algorithms for raw image sensor data is proposed and can ...

ABSTRACT. In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the.

Oct 22, 2024 · In this paper we will compare compensation algorithms for raw image sensor data. We propose a new approach based on the sparsity assumption that ...

In this paper we will compare compensation algorithms for raw image sensor data. We propose a new approach based on the sparsity assumption that outperforms ...

Apr 25, 2024 · Sparsity-based defect pixel compensation for arbitrary camera raw images. ICASSP 2011: 1257-1260. [+][–]. Coauthor network. maximize. Note that ...

Defect pixel correction (DPC) is typically performed on the raw data coming from the sensor at an early stage in the image processing pipeline [1]. It is thus ...

This paper presents a comprehensive Deep Learning (DL) based on-line detection and correction approach, suitable for a wide range of pixel corruption rates.

Sparsity-based defect pixel compensation for arbitrary camera raw images. M Schoberl, J Seiler, B Kasper, S Foessel, A Kaup. Acoustics, Speech and Signal ...