Abstract
This paper presents the experimental investigation of the application of an image restoration technique aimed at improving the accuracy of infrared surface temperature measurements of cubes placed in a vertical channel flow. These cubes, used to determine distributions of the local heat transfer coefficient, show large spatial temperature gradients. The image restoration technique, developed to correct the spatial image degradation, is based on the two-dimensional Optical Transfer Function constructed from line spread functions (LSF). The benefit of the application of the infrared image restoration technique is verified with temperature measurements acquired from a second independent technique.
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