The present invention is directed to the field of infrared imaging and radiometric cameras.
In an effort to lower the cost of infrared imaging radiometers, small low-resolution and non-temperature-stabilized detector arrays have recently been incorporated in calibrated systems. For example, previous detector arrays generally would utilize 320×240 pixels with a 50-micron pitch. These pixels would generally utilize a 16×12 mm active area and would generally include thermoelectric (TE) coolers having a fixed temperature set point. The recently developed small low-resolution and non-temperature-stabilized detector arrays would typically utilize 160×120 pixels with a 25-micron pitch. These pixels would generally utilize an active area of 4×3 mm. Additionally, these smaller arrays would not include detector temperature stabilization. The reduction in the number of pixels and the size of the array results in reduced processing time and the requirement for smaller, less expensive optics. The removal of the TE cooler would also reduce costs. As a consequence, infrared imaging radiometers can be produced at a smaller and lower in cost than those radiometers previously available.
The use of lower resolution detector arrays significantly impacts the system modulation transfer function (MTF). This results in radiometric measurements that are inappropriately dependent on the apparent image size of the object. In addition, the output images have reduced contrast and a reduced ability to discern small objects. Infrared imaging radiometers in particular in which the object temperature is calculated by measuring the object's apparent blackbody radiation, would result in an object size dependency to the temperature calculation of that object. As a consequence, in order to produce accurate quantitative radiance measurements for these lower resolution array radiometric cameras that are independent of the image size, a substantial minimum image size would then be required. As an example, for a radiometric infrared camera, to maintain the same uncorrected accuracy, a 160×120-based camera would need images of objects on the display to be four times larger than that of a 320×240-based camera. Additionally, the removal of the TE cooler would result in a variation of the base line response of the unit and consequently adversely impact radiometric accuracy.
The deficiencies of the prior art are overcome utilizing the present invention, which is directed to a method for improving the qualitative and quantitative measurement performance of infrared imaging and radiometric cameras. Traditional methods of determining the measurement performance of these cameras have inaccuracies due to the effects of changes in ambient temperature, as well as the size of the objects.
The method of the present invention would use a specific deconvolution technique designed to maintain radiometric accuracy as well as to correct for the object size due to detector objective lens MTF.
The method according to the present invention specifically changes the detector offset as shown in
In order to correct for errors associated with the object's size, a real-time radiometric deconvolution is performed based upon the information received from an A/D converter 26 for converting the analog information produced by the detector 24 into a digital signal. This digital signal is transmitted to a NUC 28 as well as the pixel substituted signal 26 to produce a data stream after the radiometric deconvolution is utilized.
The radiometric deconvolution is performed on the non-uniformity-corrected pixel substituted signal. Unlike traditional deconvolution methods, the present invention employs an energy-conserving approach that is specifically designed to maintain radiometric accuracy as well as to correct for the optical size variations due to the sensor and objective lens MTF. To implement this method, the camera's optical system is modeled using an observed image g(x,y) and can be estimated as the convolution of the true image f(x,y), as well as the modulation transfer function (MTF), h(x,y) contaminated by noise and n(x,y) that can occur from various sources. The system MTF is normally a combination of the MTF due to the objective lens as well as the detector. Several well-known linear image restoration techniques exist to determine the corrected image based on the point spread function and distorted image, including inverse filtering, Wiener filtering, least-squares filtering, recursive Kalman filtering and constrained iterative deconvolution methods.
Various embodiments of the invention have been described. The description is intended to be illustrative, and not limited. Thus, it would be apparent to one skilled in the art that certain modifications may be made to the invention as described without departing from the scope of the claims set out below.
The present application claims the priority of provisional patent application Ser. No. 60/549,917, filed Mar. 5, 2004.
Number | Date | Country | |
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60549917 | Mar 2004 | US |