A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing.

The techniques and device provided herein relate to receiving, via a processor, image data representative of a borehole of a well. The technique may include generating dequantized image data based on the image data, such that the dequantized image data filters one or more artifacts present in a Hough transformed version of the image data. One or more dip orientations (inclination and azimuth) associated with one or more formation dips present in the image data may be determined based on the dequantized image data. The technique may also include performing an a-contration validation algorithm for for the one or more formation dips to verify whether at least a formation dip having the or one of the possible dip orientation is present at a predetermined measured depth in the image data..

A watermark encoder receives a current video image together with current metadata associated with the current image. A metadata delay also makes available to the watermark decoder delayed metadata associated respectively with four or more of the preceding. Then the watermark encoder modifies pixel values of the current image not only to encode the current metadata but also the delayed metadata. At a decoder, if metadata for the current image is corrupted or missing, it can be recovered from one of the succeeding images.

A method detects phase-encoding ghosting in a MR image of an object to be imaged and mitigates the corresponding artifact in the MR image. The method includes acquiring MRI raw data of the object by a MRI apparatus. The MRI apparatus has multiple receiver channels for acquiring the MRI raw data. An artifact map of at least one part of the object to be imaged is calculated from the MRI raw data, the artifact map is configured for highlighting artifact appearing in the MR image. An outlier mask representing detected phase-encoding artifact is created in the artifact map. The phase-encode ghosting in the MR image is mitigated by using the previously obtained artifact map and the outlier mask for obtaining an improved MR image.

For sharpening an input image by up-converting the input image in order to increase the number of pixels of an image and generating a frequency component higher than a frequency component contained in an input image signal representing the input image, the number of multipliers is reduced, thereby achieving significant downsizing of an apparatus and cost reduction. An image processing apparatus includes a path on a base image side for up-converting the input image signal and a path on a sharpening processing side for carrying out nonlinear arithmetic processing on the input image signal. The path on the sharpening processing side includes an up-converter at a subsequent stage of at least one filter, after which the nonlinear arithmetic processing is carried out. The at least one filter may be either a two-dimensional low pass filter for noise removal or a high pass filter for removing a DC component.

A defog system and a defog method are provided. The defog system includes an illuminance sensor configured to detect ambient illuminance, and at least one processor to implement a level determiner configured to determine a defog level of an input image based on the ambient illuminance. The at least one processor further implements a defogger configured to determine whether to defog the input image based on skewness and kurtosis of a histogram of the input image, and, in response to the defogger determining to defog the input image, determine a fog condition of the input image based on a cumulative probability of the histogram, and defog the input image based on the defog level.

A method for the quantitative and/or qualitative detection of particles in fluid, with which the fluid to be examined is introduced into a beam path of an optical device, between at least one light source and the image acquisition sensor with a matrix of light-sensitive cells. Pixel values of the cells are detected and the distribution of the pixel values is at least partly determined. The pixel value or values which have been determined most often are used as a value or average value for a background signal. A signal is outputted or the method is interrupted, on reaching a maximal permissible value for the background signal.

A system and method for the measurement of distances related to an object depicted in an image. One aspect including delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension. The custom part is designed and manufactured based on the calculated constraint dimension.

Image processing methods and systems apply filtering operations to images, wherein the filtering operations use filter costs which are based on image gradients in the images. In this way, image data is filtered for image regions in dependence upon the image gradients for the image regions. This may be useful for different scenarios such as when combining images to form a High Dynamic Range (HDR) image. The filtering operations may be used as part of a connectivity unit which determines connected image regions, and/or the filtering operations may be used as part of a blending unit which blends two or more images together to form a blended image.

An image processing device is constituted by a device for detecting motion of the subject, with the entire effective pixel region as a range; a device for successively setting each of the pixels in the effective pixel region as a pixel of interest; a device for detecting motion of the subject, with a local pixel region that includes the successively set pixel of interest as a range; a device for, for each of the pixels of interest, determining a mixing ratio for the pixel signal of the current imaging period and the pixel signal of one imaging period earlier based on the two detection results; and a device for, for each of the pixels of interest, correcting the pixel signal of the current imaging period based on the determined mixing ratio.