Disclosed are a solid-state imaging apparatus, a signal processing method of a solid-state imaging apparatus, and an electronic device, which are capable of correcting uneven sensitivities generated by multiple factors in a broad area and realizing the higher-precision image quality. A correction circuit 710 weight a sensitivity Pi corresponding to a pixel signal of each pixel related to correction in a pixel unit PU that is the correction target and a sensitivity Pi corresponding to a pixel signal of each pixel related to correction in at least one same color pixel unit PU and adjacent to the pixel unit PU that is the correction target by a weighting coefficient Wi. Consequently, the correction coefficient μ is calculated by dividing a sum of the weighted sensitivities by a total number n of pixels related to correction.

Disclosed are a solid-state imaging apparatus, a signal processing method of a solid-state imaging apparatus, and an electronic device, which are capable of correcting uneven sensitivities generated by multiple factors in a broad area and realizing the higher-precision image quality. A correction circuit 710 weight a sensitivity Pi corresponding to a pixel signal of each pixel related to correction in a pixel unit PU that is the correction target and a sensitivity Pi corresponding to a pixel signal of each pixel related to correction in at least one same color pixel unit PU and adjacent to the pixel unit PU that is the correction target by a weighting coefficient Wi. Consequently, the correction coefficient μ is calculated by dividing a sum of the weighted sensitivities by a total number n of pixels related to correction.

An image sensing device including a pixel array including a plurality of pixels and an analog-to-digital converter (ADC) configured to convert an analog signal into a digital signal is provided. The ADC includes a first circuit configured to receive the analog signal from a selected pixel among the plurality of pixels and generate a first output signal and a second circuit including a select transistor configured to apply a voltage to a floating node electrically connected to the select transistor based on the first output signal. The second circuit further includes a capacitor connected in parallel between a gate and a drain of the select transistor and an output circuit connected to the floating node and configured to output the digital signal based on the applied voltage to the floating node.

Thermal imaging systems can include an infrared camera module (200), a user interface (208), a processor (222), and a memory. The memory can include instructions to cause the processor (222) to perform a method upon a detected actuation from the user interface (208). The method can include performing a non-uniformity correction (1702) to reduce or eliminate fixed pattern noise from infrared image data from the infrared camera module (200). The method can include capturing infrared images (1704) at a plurality of times and register the captured images via a stabilization process (1706). The registered, non-uniformity corrected images can be used to perform a gas imaging process (1700). A processor (222) can be configured to compare an apparent background temperature in each of a plurality of regions of infrared image data to a target gas temperature. The processor (222) can determine if such regions lack sufficient contrast to reliably observe the target gas.

A method, including receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array. The method also includes analyzing the signals along a row or a column to identify one or more local turning points, and processing the signals at the identified local turning points to recognize fixed pattern noise in the captured image. The method further includes correcting values of the signals from the sensor elements at the identified local turning points so as to reduce the fixed pattern noise in the image.

An X-ray detector includes a detection unit to convert X-rays into a signal value and an evaluation unit. The detection unit and the evaluation unit are configured in a common component, the extent of the component along a first direction being not greater than the extent of the detection unit. The evaluation unit includes at least one correction unit to correct the signal values, a computation unit to control the correction, and a memory unit to store at least one correction parameter. The evaluation unit is designed such that the signal values are corrected as a function of the at least one correction parameter. A method and detector group are also disclosed.

Various techniques are provided to capture one or more thermal image frames using an infrared sensor array that is fixably positioned to substantially de-align rows and columns of infrared sensors. In one example, an infrared imaging system includes an infrared sensor array comprising a plurality of infrared sensors arranged in rows and columns and adapted to capture a thermal image frame of a scene exhibiting at least one substantially horizontal or substantially vertical feature. The infrared imaging system also includes a housing. The infrared sensor array is fixably positioned within the housing to substantially de-align the rows and columns from the feature while the thermal image frame is captured.

The present invention provides a method for removing a haze in a single image. In the present invention, a transmission is estimated by using a dark channel prior obtained from a hazy input image. The estimated transmission includes a block artifact. In an exemplary embodiment of the present invention, in order to preserve an edge and remove the block artifact, a refined transmission value is obtained by performing WLS filtering by using an estimated transmission value and a morphologically-processed input image, the image is restored based on the refined transmission value, and then multi-scale tone manipulation image processing is performed.

The present invention relates to a method for correcting a packaged optical sensor array module, and the method for correcting a packaged optical sensor array module according to the present invention comprises the steps of: analyzing statistical characteristics of an optical sensor array with respect to light emitted from a standard light source having a predetermined characteristic value to extract a representative value, and calculating a first correction value for a measurement value according to the extracted representative value; and calculating a second correction value for a measured value of the optical sensor array that is corrected by the first correction value with respect to light emitted from an applied light source or light emitted by a fluorescence of the applied light source.

The present invention relates to a method for correcting a packaged optical sensor array module, and the method for correcting a packaged optical sensor array module according to the present invention comprises the steps of: analyzing statistical characteristics of an optical sensor array with respect to light emitted from a standard light source having a predetermined characteristic value to extract a representative value, and calculating a first correction value for a measurement value according to the extracted representative value; and calculating a second correction value for a measured value of the optical sensor array that is corrected by the first correction value with respect to light emitted from an applied light source or light emitted by a fluorescence of the applied light source.