CPC Class H04N

An image blur correction device includes a base member and a lens holder. The lens holder holds a correction lens and is supported by a rolling ball to be capable of movement to the base member. The base member has a receiving part of the rolling ball and the lens holder has a restricting part of the rolling ball. The restricting part has a concave shape deeper than the diameter of the rolling ball, and a first ball receiving surface part is provided in the concave part. A second ball receiving surface part is provided in the receiving part that faces the restricting part and enters the concave part and the rolling ball is interposed between the first ball receiving surface part and the second ball receiving surface part.

Disclosed systems and methods use machine-learning techniques to determine a set of parameters that if applied to a target video, apply a color characteristic of a reference video to the target video. For example, a color consistency application executing on a computing device computes a feature vector including a representation of a reference video and a target video. The application determines a set of color parameters (e.g., exposure, color temperature, tint, etc.) by applying the feature vector to one or more predictive models trained to determine color consistency. The application generates a preview image by applying the parameters to the target video. The applying causes an adjustment of exposure, color temperature, or tint in the target video such that a color consistency of the adjusted target video is consistent with a color consistency of the reference video. The color consistency application provides settings to further adjust the parameters.

A signal processing apparatus includes an acquisition unit that acquires input data and detection target data, a noise strength setting unit that sets a noise strength K used to a predetermined stochastic resonance processing and a stochastic resonance processing unit that performs the predetermined stochastic resonance processing and outputs processed data. The predetermined stochastic resonance processing is a processing based on a formula in which processed data J(x) is represented by I(x), the noise strength K and the threshold value T and the processed data J(x) corresponds to a result in a case where M is infinite in the following formula,The noise strength setting unit sets the noise strength based on a function of a correlation coefficient between the result of the predetermined stochastic resonance processing and the detection target data and the noise strength K.

Image capture systems including a moving platform; an image capture device having a sensor for capturing an image, the image having pixels, mounted on the moving platform; and a detection computer executing an abnormality detection algorithm for detecting an abnormality in the pixels of the image immediately after the image is captured by scanning the image utilizing predetermined parameters indicative of characteristics of the abnormality and then automatically and immediately causing a re-shoot of the image.

A soil imaging system having a work layer sensor disposed on an agricultural implement to generate an electromagnetic field through a soil area of interest as the agricultural implement traverses a field. A monitor in communication with the work layer sensor is adapted to generate a work layer image of the soil layer of interest based on the generated electromagnetic field. The work layer sensor may also generate a reference image by generating an electromagnetic field through undisturbed soil. The monitor may compare at least one characteristic of the reference image with at least one characteristic of the work layer image to generate a characterized image of the work layer of interest. The monitor may display operator feedback and may effect operational control of the agricultural implement based on the characterized image.

A system for preparing a pharmaceutical compound comprises: a scale having a platen configured for placement of an object thereon; a supporting arm comprising a first end coupled to a portion of the scale and a second end extending to a position above the platen of the scale; and an enclosure housing extending from the second end of the supporting arm and configured to house at least one input device. The enclosure housing has a curved front profile to minimize flow disturbance when the system is positioned within a flow hood.