Statistical Scene-Based Non-Uniformity Correction Method with Interframe Registration.

Baolin Lv,Haijiang Sun,Qiaoyuan Liu,Shoufeng Tong

doi:10.3390/s19245395

Abstract

The non-uniform response in infrared focal plane array (IRFPA) detectors inevitably produces corrupted images with a fixed-pattern noise. In this paper, we present a novel and adaptive scene-based non-uniformity correction (NUC) method called Correction method with Statistical scene-based and Interframe Registration (CSIR), which realizes low delay calculation of correction coefficient for infrared image. This method combines the statistical method and registration method to achieve a better NUC performance. Specifically, CSIR estimates the gain coefficient with statistical method to give registration method an appropriate initial value. This combination method not only reduces the need of interactive pictures, which means lower time delay, but also achieves better performance compared to the statistical method and other single registration methods. To verify this, real non-uniformity infrared image sequences collected by ourselves were used, and the advantage of CSIR was compared thoroughly on frame number (corresponding to delay time) and accuracy. The results show that the proposed method could achieve a significantly fast and reliable fixed-pattern noise reduction with the effective gain and offset.

Highlights

Infrared focal plane array (IRFPA) sensors are commonly used in military and civilian applications such as disaster assessment, security monitoring [1], medical treatment, forest fire prevention, national defense [2], etc
The results show that the proposed method could achieve a significantly fast and reliable fixed-pattern noise reduction with the effective gain and offset
Based on the analysis of the advantages and disadvantages of existing methods, this paper proposes a hybrid correction method based on both statistics and registration

Summary

Introduction

Infrared focal plane array (IRFPA) sensors are commonly used in military and civilian applications such as disaster assessment, security monitoring [1], medical treatment, forest fire prevention, national defense [2], etc Influenced by factors such as sensor fabrication process, IRFPA often receives serious non-uniform noise, which affects the imaging quality of the system [3]. The most commonly used two-point method in engineering only needs one multiplication and one addition to realize real-time non-uniformity correction. This method calculates the gain and offset coefficients by using the blackbody responses at two different temperatures. CBNUC cannot solve the problem of radiation response drift; it has to be repeated by inserting a uniform radiation source into the view, which affects the quality of images produced

Methods

Results

Conclusion