Provided is an image processing apparatus capable of assuredly finding a lung field that appears in an image even if a subject image appears in a radiation image in a rotated manner and assuredly performing a contrast adjustment with excellent visibility for the lung field. The image processing apparatus is provided with a sideways determination means 13 configured to determine that the subject image is turned sideways in the original image P0 when a minimum point P of a profile generated by summing or averaging pixel values belonging to each pixel column of the original image P0 for each pixel column is away from the center position of the subject image. The original image P0 determined as being turned sideways by the sideways determination portion 13 is rotated by the image rotation portion 16 and used for searching of the lung field.

The present disclosure involves expanding the dynamic range of low dynamic range images and concerns obtaining a first expansion exponent map for an image, and determining, for each pixel of the image, an expanded luminance value by performing an exponentiation with an expansion exponent value determined from the first expansion exponent map on a luminance value of the pixel, and can include calculating, for the pixel of the image, an expansion correcting value by using a modulating function that takes as input a value representative of the luminance of the pixel and is an increasing function whose increase is higher for higher input values, and subtracting the expansion correcting value from the expansion exponent value of the first expansion exponent map.

An image processing apparatus filters an image and obtains a signal in a threshold range as a shadow. The image processing apparatus obtains boundary information by applying boundary detection filters associated with different directions. The shadow is applied, based on the boundary information, to a portion of the input image to provide an output image with improved sharpness.

A method includes: determining a first neural network model; inputting an image to be processed containing a lung image to the first neural network model to obtain a lung lobe segmentation result of the image to be processed; wherein the first network layer in the first neural network model is configured to add an additional channel with coordinate information to input data input to the first network layer, and to determine output data of the first network layer based on the input data after the additional channel is added thereto.

Systems and methods for dynamically computing display properties of an overlay on a base image are disclosed. The method receives base image data and its properties, and overlay data and its position on the base image. The method identifies a set of pixels of the base image situated under at least a portion of the overlay. For each pixel in the set of pixels, the method computes a value of a display property of the pixel. The method then computes a reference display property value of the base image based on the computed display property values of pixels and computes a display property value of the overlay using the computed reference display property value of the base image. The method then assigns a display property of the overlay based on the computed display property value of the overlay.

A time sequenced series of optical images of a patient is obtained at a rate faster than cardiac frequency, wherein the time sequenced series of images capture one or more physical properties of intrinsic contrast. A cross-correland signal from the patient is obtained. A cross-correlated wavelet transform analysis is applied to the time sequenced series of optical images to yield a spatiotemporal representation of cardiac frequency phenomena The cross-correlated wavelet transform analysis comprises performing a wavelet transform on the time-sequenced series of optical images to obtain a wavelet transformed signal, cross-correlating the wavelet transformed signal with the cross-correland signal to obtain a cross-correlated signal, filtering the cross-correlated signal at cardiac frequency to obtain a filtered signal, and performing an inverse wavelet transform on the filtered signal to obtain a spatiotemporal representation of the time sequenced series of optical images. Images of the cardiac frequency phenomena are generated.

Provided is an image processing apparatus that detects a predetermined image region of an object from a photographed image; generates a correction parameter; and corrects a high-luminance region by using a correction parameter, in which, in a case where the high-luminance region is in an image region having a predetermined image region of a plurality of objects overlapping with each other therein, to which object having the predetermined image region the high-luminance region belongs is judged, and, on the basis of information of the predetermined image region the high-luminance region belongs to, the correction parameter with which the high-luminance region in the overlapping image region is corrected is generated.

A system and method for improving a video characteristic of a video stream is described. According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

A method for inspecting images on printed products of a printing substrate processing machine includes using at least one image sensor of an image recording system, in the course of the image inspection process, to record and digitize the printed products that have been produced. The computer compares the recorded digital printed images that have been created in this way to a digital reference image. In the case of deviations between the recorded digital printed images and the digital reference image, the printed products that have been found defective are removed. The computer divides the digital print images and the reference images into respective image parts and compensates for brightness differences between the image parts.

The present invention relates to the field of dynamic content creation and management and more particularly to dynamically create and insert immersive promotional content in a multimedia. The multimedia requested by a user is procured from a media server (105) and the one or more objects present in the multimedia is determined. The content of the multimedia is analyzed, and a decision is taken to immerse the promotional content in the multimedia based on the analysis of the multimedia. Further, a promotional content is created in real time using the components present in the asset database (106) based on the personalized user profile. The created promotional content is overlaid and blended with a at least one object from the one or more objects in the multimedia. The created promotional content and the multimedia is joined to form a composite media and is streamed to the user device.