G06V10/36

Image processing circuit and method thereof

An image processing method is provided. The method is for calculating a first weighted sum of absolute difference (WSAD) of a first search window and a corresponding first target window, and a second WSAD of a second search window and a corresponding second target window. The first and second search windows have a common matching window, and the first and second target windows have a common target block. The method includes: a) calculating a plurality of absolute differences of the common matching window and the common target block; b) determining a first weight coefficient group and a second weight coefficient group; and c) summing up products of multiplying the absolute differences by the first weight coefficient group to generate the first WSAD, and summing up products of multiplying the absolute differences by the second weight coefficient group to generate the second WSAD.

Information processing apparatus and non-transitory computer readable medium

An information processing apparatus includes a processor configured to: acquire an amount of color change, the amount of color change being an amount of color change caused by processing performed on image data, the amount of color change being acquired for each area with a color change within the image data; and extract an interest region from the image data, the interest region being an area in the image data where the amount of color change is greater than in other areas.

AUTOMATIC DETERMINATION METHOD OF INSPECTION REGION FOR SUBSTRATE HOLDING STATE ABNORMALITY INSPECTION AND SUBSTRATE PROCESSING SYSTEM
20170236303 · 2017-08-17 ·

With regard to an inspection region for inspecting abnormality of a holding state of the substrate in an image of the substrate holding unit, (1) an upper end surface of the substrate being normally held by the substrate holding unit is confirmed, (2) based on a position of the upper end surface of the substrate that has been confirmed, a position of the inspection region in a vertical direction is determined, and (3) for a candidate of the inspection region of which the position in the vertical direction has been determined, density thereof at a rotation start time of the substrate holding unit is obtained, a horizontal position of the inspection region is determined based on a difference image integrated value, which is an integrated value of a difference absolute value with density of the same region in an initial state of the substrate holding unit.

Methods and system for estimation of lambertian equivalent reflectance for reflective band imagery
11430210 · 2022-08-30 · ·

A system for estimating a Lambertian equivalent reflectance for reflective band imagery is disclosed. In some embodiments, the system estimates an equivalent reflectance and performs atmospheric correction of reflective band imagery without user interaction and accounts for the effect of background reflectance mixing with individual target reflectances. Some of these embodiments use a dark pixel-based technique to improve the characterization of the atmosphere.

Methods and system for estimation of lambertian equivalent reflectance for reflective band imagery
11430210 · 2022-08-30 · ·

A system for estimating a Lambertian equivalent reflectance for reflective band imagery is disclosed. In some embodiments, the system estimates an equivalent reflectance and performs atmospheric correction of reflective band imagery without user interaction and accounts for the effect of background reflectance mixing with individual target reflectances. Some of these embodiments use a dark pixel-based technique to improve the characterization of the atmosphere.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20220309778 · 2022-09-29 ·

An image processing apparatus comprises a first obtaining unit configured to obtain a pixel from a feature image, and a calculating unit configured to perform a convolution operation based on a pixel obtained by the first obtaining unit. The first obtaining unit is capable of obtaining non-adjacent pixels from the feature image.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20220309778 · 2022-09-29 ·

An image processing apparatus comprises a first obtaining unit configured to obtain a pixel from a feature image, and a calculating unit configured to perform a convolution operation based on a pixel obtained by the first obtaining unit. The first obtaining unit is capable of obtaining non-adjacent pixels from the feature image.

Pattern extracting device, image projecting device, pattern extracting method, and program

A pattern extracting device, an image projecting device, a pattern extracting method, and a program capable of extracting all the feature points by interpolating defective feature points even when there are defective feature points of an image pattern. The pattern extracting device extracts feature points to be interpolated based on a captured image of a projected image pattern, and interpolates the feature point to be interpolated by using near-by feature points that are located near the feature point, divides the near-by feature points into groups, calculates extrapolation coordinates of the groups, and calculates coordinates of the feature point to be interpolated in view of significance of the extrapolation.

Screen content detection for adaptive encoding
11399187 · 2022-07-26 · ·

Systems and methods for detecting screen contents and adaptive enablement of screen content coding modes. Encoding mode decision may be made adaptive to include or exclude screen content coding (SCC) modes. In some embodiments, a screen content decision is based on one or more statistics characterizing a distribution of meaningful colors (e.g., chroma) and/or intensities (e.g., luma) determined for a population of pixels of an input picture. In some embodiments, a screen content decision is based on one or more statistics characterizing the pure flat area of an input picture and the area with extreme sharp edges. Pictures may be encoded according to a mode selection that is adaptive to the screen content decision, for example selecting between encoding modes that include SCC modes, or selecting between encoding modes that exclude SCC modes.

Screen content detection for adaptive encoding
11399187 · 2022-07-26 · ·

Systems and methods for detecting screen contents and adaptive enablement of screen content coding modes. Encoding mode decision may be made adaptive to include or exclude screen content coding (SCC) modes. In some embodiments, a screen content decision is based on one or more statistics characterizing a distribution of meaningful colors (e.g., chroma) and/or intensities (e.g., luma) determined for a population of pixels of an input picture. In some embodiments, a screen content decision is based on one or more statistics characterizing the pure flat area of an input picture and the area with extreme sharp edges. Pictures may be encoded according to a mode selection that is adaptive to the screen content decision, for example selecting between encoding modes that include SCC modes, or selecting between encoding modes that exclude SCC modes.