Scene-Based Nonuniformity Correction Method Using Constant-Range: Performance and Analysis

نویسندگان

  • Sergio N. Torres
  • Rodrigo A. Reeves
  • Majeed M. Hayat
چکیده

This paper discusses the performance and analysis of a recently published scene-based statistical technique for nonuniformity correction (NUC) of infrared focal plane arrays (FPA). In particular, the method is improved by reducing the number of parameters computing in real-time from three (gain, offset and the standard deviation of the temporal noise) to two (gain and offset). A simple statistical technique to estimate the so-called Constant-Range from the noisy sequences of infrared frames has been developed. A recursive version of the Constant-Range NUC method per pixel and per frame using the norm has been also developed. The Constant-Range method can not estimate the gain of a few individual pixels in which the readout is constant in the sequence. A technique to estimate the gain of such pixels has been also derived. The performance of the proposed modifications for the constant-range NUC method and its ability to compensate for nonuniformity noise is demonstrated using sequences of infrared imagery with both real and simulated nonuniformity.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Enhancement to the Constant Range Method for Nonuniformity Correction of Infrared Image Sequences

A statistical technique for adaptive nonuniformity correction of infrared image sequences has been developed. The method, which relies on our previously developed constant range nonuniformity correction method, estimates the nonuniformity parameters using two recursive estimation techniques. The method selects an estimation algorithm using a decision rule based on a threshold value computed fro...

متن کامل

Scene-based nonuniformity correction with video sequences and registration.

We describe a new, to our knowledge, scene-based nonuniformity correction algorithm for array detectors. The algorithm relies on the ability to register a sequence of observed frames in the presence of the fixed-pattern noise caused by pixel-to-pixel nonuniformity. In low-to-moderate levels of nonuniformity, sufficiently accurate registration may be possible with standard scene-based registrati...

متن کامل

Nonuniformity correction of infrared image sequences using the constant-statistics constraint

Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of infrared focal point arrays (IRFPAs) and other imaging arrays. The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with de...

متن کامل

Scene-based nonuniformity correction with reduced ghosting using a gated LMS algorithm.

In this paper, we present a scene-based nouniformity correction (NUC) method using a modified adaptive least mean square (LMS) algorithm with a novel gating operation on the updates. The gating is designed to significantly reduce ghosting artifacts produced by many scene-based NUC algorithms by halting updates when temporal variation is lacking. We define the algorithm and present a number of e...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002