Bad Pixel Detection Research Articles

Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera

Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera

基于多方向小波提升IRFPA盲元检测精度方法

基于多方向小波提升IRFPA盲元检测精度方法

A novel algorithm for bad pixel detection and correction to improve quality and stability of geometric measurements

An algorithm for detection and individually substitution of bad pixels for further restoration of an image in the presence of such outliers without altering overall image texture is presented. This work presents three phases concerning image processing: bad pixel identification and mapping by means of linear regression and the coefficient of determination of the pixel output as a function of exposure time, local correction of the linear and angular coefficients of the outlier pixels based on their neighbourhood and, finally, image restoration. Simulation and experimental data were used as means of code benchmarking, showing satisfactory results.

Scene-Based Adaptive Iteration Bad Pixel Dynamic Correction Algorithm for Infrared Focal Plane Arrays

Infrared focal plane array (IRFPA) bad pixel correction as a prevalent problem is widely used in complex conditions. Therefore, scene-based adaptive iteration bad pixel dynamic correction algorithm is proposed and explored. Adaptive filtering bad pixel detection algorithm is to record the intensity of an image and replace the intensity of the image filtered by a locally acting adaptive filter. Using the intensity of the unfiltered and filtered image to determined the bad pixel which regarded as image noise. By the improved Nagao filtering bad pixel compensation algorithm, filtering sub-windows with the same pixel amount whose patterns are decided by the texture analysis can obtain stronger directivity. Thus, the image boundary pixels do not reappear as flicking dot during the quick scene changes, and the rich scene details are preserved.

Blind Pixels Auto-Searching Algorithm for IRFPA based on Scene

One of the important factors which influence the imaging of IRFPA array is the quantity and distribution of bad pixel. Based on the features of infrared image, response characteristics of IRFAP's bad pixel and the corelation of adjacen cy pixel, this paper put forward a new method to detect bad pixel .The experimental result has proved that this metho d not only can actualize the detection of IRFPA bad pixel, but has many advantages like real time bad pixel detection,low rate of miss detection and fast detection etc. Also this algorithm is easy to be implemented by hardware.

Measuring the effectiveness of bad pixel detection algorithms using the ROC curve

Digital camera sensors usually contain defective pixels that either arise during the manufacturing process, or develop over time. These defects though small in number, are very noticeable to an experienced eye when looking at images captured from the camera. As a result it becomes extremely important for the sensor manufacturing companies to develop methods which would reduce these manufacturing errors. There have been a number of algorithms proposed for online detection of sensor defects in the literature, but there is no standard method of fairly comparing algorithms given that each algorithm uses thresholds in a different way. This paper presents a novel idea which makes use of the Receiver Operating Characteristics (ROC) curve for comparison among the various bad pixel correction algorithms. We demonstrate how the characteristics of the ROC curve can be used for determining the effectiveness of the algorithms and hence help us to decide which of the algorithms perform better than the others. Experimental results comparing two such bad pixel detection algorithms are provided.

Design and development of a high-performance third-generation hand-held thermal camera

A high-performance hand-held thermal imaging camera has been developed, based on a 320256-element InSb infrared focal plane array FPA operating in the medium-wave infrared region. The primary design objective was a low-cost, compact, lightweight, and por- table thermal camera with a recognition range of 2 km. A staring FPA based on InSb technology with long and variable integration time pro- vides the answer best suited to these requirements. The system pro- vides such features as two-point and adaptive nonuniformity correction, bad-pixel detection and replacement, dynamic range compression, con- trast and edge enhancement, histogram equalization, and digital scan conversion for CCIR-B-compatible output. The design methodology and the performance are presented. © 2006 Society of Photo-Optical Instrumentation