An image sensing assembly includes an enclosure that defines a first viewport aperture in a front wall of the enclosure. The image sensing assembly includes a first image sensor attached within the enclosure, the first image sensor aligned with the first viewport aperture in the front wall of the enclosure to capture image data representative of a scene viewed through the first viewport aperture. The image sensing assembly includes a bracket attached to the enclosure at a first portion of the bracket and attached to a first mounting plate at a second portion of the bracket. The image sensing assembly includes a vibration dampening mount located between the bracket and the first mounting plate to at least partially isolate the enclosure from vibration of the first mounting plate.

To satisfactorily detect an edge detection signal of a high frequency band from a captured image signal at all times.

A filtering unit extracts an edge detection signal of a high frequency band from an image signal obtained from imaging, and a band control unit controls the high frequency band on the basis of lens information. For example, the filtering unit includes a first high-pass filter with a first cutoff frequency, a second high-pass filter with a second cutoff frequency that is lower than the first cutoff frequency, and an a blending unit that performs a blending on output of the first high-pass filter and output of the second high-pass filter. Even if the frequency of the edge detection signal included in the captured image signal varies due to a change in a zoom position, a lens model number, an F value or the like, the edge detection signal can be satisfactorily detected at all times.

To satisfactorily detect an edge detection signal of a high frequency band from a captured image signal at all times.

A filtering unit extracts an edge detection signal of a high frequency band from an image signal obtained from imaging, and a band control unit controls the high frequency band on the basis of lens information. For example, the filtering unit includes a first high-pass filter with a first cutoff frequency, a second high-pass filter with a second cutoff frequency that is lower than the first cutoff frequency, and an a blending unit that performs a blending on output of the first high-pass filter and output of the second high-pass filter. Even if the frequency of the edge detection signal included in the captured image signal varies due to a change in a zoom position, a lens model number, an F value or the like, the edge detection signal can be satisfactorily detected at all times.

A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification.

A method for shadow correction verification parameter determination, the method comprising: obtaining correction data in each block of a plurality of correction images, the correction data comprising luma information and color information; wherein the luma information is the ratio of a luma to a luma of a center block, and the color information is a ratio of a color value to a color value of the center block; and calculating at least one set of standard values and deviation values of each block by using the luma information and the color information in each block of the plurality of correction images and taking the at least one set of standard values and deviation values to be correction verification parameters in the shadow correction verification.

Aligning and coloring a volumetric image, including: capturing intensity data using at least one scanner; generating an intensity image using the intensity data, wherein the intensity image includes at least one feature in a scene, the at least one feature including a sample feature; capturing image data using at least one camera, wherein the image data includes color information; generating a camera image using the image data, wherein the camera image includes the sample feature; matching the sample feature in the intensity image with the sample feature in the camera image to align the intensity image and the camera image; and generating a color image by applying the color information to the aligned intensity image.

Aligning and coloring a volumetric image, including: capturing intensity data using at least one scanner; generating an intensity image using the intensity data, wherein the intensity image includes at least one feature in a scene, the at least one feature including a sample feature; capturing image data using at least one camera, wherein the image data includes color information; generating a camera image using the image data, wherein the camera image includes the sample feature; matching the sample feature in the intensity image with the sample feature in the camera image to align the intensity image and the camera image; and generating a color image by applying the color information to the aligned intensity image.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

To satisfactorily detect an edge detection signal of a high frequency band from a captured image signal at all times. A filtering unit extracts an edge detection signal of a high frequency band from an image signal obtained from imaging, and a band control unit controls the high frequency band on the basis of lens information. For example, the filtering unit includes a first high-pass filter with a first cutoff frequency, a second high-pass filter with a second cutoff frequency that is lower than the first cutoff frequency, and an α blending unit that performs α blending on output of the first high-pass filter and output of the second high-pass filter. Even if the frequency of the edge detection signal included in the captured image signal varies due to a change in a zoom position, a lens model number, an F value or the like, the edge detection signal can be satisfactorily detected at all times.

To satisfactorily detect an edge detection signal of a high frequency band from a captured image signal at all times. A filtering unit extracts an edge detection signal of a high frequency band from an image signal obtained from imaging, and a band control unit controls the high frequency band on the basis of lens information. For example, the filtering unit includes a first high-pass filter with a first cutoff frequency, a second high-pass filter with a second cutoff frequency that is lower than the first cutoff frequency, and an α blending unit that performs α blending on output of the first high-pass filter and output of the second high-pass filter. Even if the frequency of the edge detection signal included in the captured image signal varies due to a change in a zoom position, a lens model number, an F value or the like, the edge detection signal can be satisfactorily detected at all times.