Abstract: A thermal imaging apparatus comprising: a thermal detector device (100) comprising an array of thermal sensing pixels (102) and signal processing circuitry (104) coupled to the detector device (100). The circuitry (104) supports a background identifier (110) and a pixel classifier (112), the background identifier (110) comprising a common intensity identifier (114) and an expected background intensity calculator (116). The background identifier (110) receives pixel measurement data captured by the detector device (100) in respect of pixels of the array (102) and the common intensity identifier (114) identifies a largest number of substantially the same pixel intensity values from the pixel measurement data. The expected background intensity calculator (116) uses the largest number of substantially the same pixel intensity values to generate a model of expected background intensity levels.

Abstract: A method of digitally processing an image comprises: generating an intensity distribution model (170) in respect of at least a portion of the array of sensing pixels (102) of a detector device (100). The array of sensing pixels comprises clusters of pixels. A pixel (140) from the array of sensing pixels is then selected (202) and a first distance and a second distance from the selected pixel to a first neighbouring pixel (142) and a second neighbouring pixel (144), respectively, are determined (402) and the intensity distribution model (170) referenced (406) by the first distance is used to calculate a first weight and a second weight to apply to the first and second neighbouring pixels, respectively. The first distance comprises an intra-cluster distance and the second distance comprises an inter-cluster distance, the intra-cluster distance being different from the inter-cluster distance.

Abstract: A method of generating a de-interlacing filter comprises: analysing a pixel array comprising an interlacing pattern of pixels. The interlacing pattern of pixels comprises first and second pluralities of pixels configured to be read during a first measurement subframe and a second measurement subframe, respectively. An n-state representation of the interlacing pattern of pixels is generated and distinguishes between the first plurality of pixels and the second plurality of pixels. The n-state representation of the interlacing pattern is translated to a spatial frequency domain, thereby generating a spatial frequency domain representation of the n-state representation of the interlacing pattern. A DC signal component is then removed from the spatial frequency domain representation of the n-state representation of the interlacing pattern, thereby generating a DC-less spatial frequency domain representation.

Abstract: A method of digitally processing a plurality of pixels of an image captured using an array of sensing pixels of an optical sensor device. The method comprises identifying a measurement pixel of the plurality of pixels corresponding to a measurement point on a target to be measured. The method then comprises identifying a number of pixels of the plurality of pixels neighbouring the measurement pixel, the number of pixels having a number of intensity values, respectively. A curve is then fitted to the number of pixels and the number of respective intensity values. An estimated intensity value is then determined from the curve in respect of the measurement pixel, thereby simulating a predetermined field of view in respect of the measurement pixel narrower than an actual field of view of the measurement pixel.

Abstract: A method of digitally processing an image comprises: generating an intensity distribution model (170) in respect of at least a portion of the array of sensing pixels (102) of a detector device (100). The array of sensing pixels comprises clusters of pixels. A pixel (140) from the array of sensing pixels is then selected (202) and a first distance and a second distance from the selected pixel to a first neighbouring pixel (142) and a second neighbouring pixel (144), respectively, are determined (402) and the intensity distribution model (170) referenced (406) by the first distance is used to calculate a first weight and a second weight to apply to the first and second neighbouring pixels, respectively. The first distance comprises an intra-cluster distance and the second distance comprises an inter-cluster distance, the intra-cluster distance being different from the inter-cluster distance.

Abstract: A thermal imaging apparatus comprising: a thermal detector device (100) comprising an array of thermal sensing pixels (102) and signal processing circuitry (104) coupled to the detector device (100). The circuitry (104) supports a background identifier (110) and a pixel classifier (112), the background identifier (110) comprising a common intensity identifier (114) and an expected background intensity calculator (116). The background identifier (110) receives pixel measurement data captured by the detector device (100) in respect of pixels of the array (102) and the common intensity identifier (114) identifies a largest number of substantially the same pixel intensity values from the pixel measurement data. The expected background intensity calculator (116) uses the largest number of substantially the same pixel intensity values to generate a model of expected background intensity levels.