A converter can process image data from input HDR images in real time to compute new metadata about the brightness, contrast, color gamut and/or color volume for the image data to be displayed from each frame. Existing metadata can be ignored. The converter can combine the metadata for a current HDR frame with metadata for a plurality of immediately previous sequential frames to provide parameters for tone mapping. The converter uses these parameters, and characteristics about a lower dynamic range display which will receive output image data, to define a transfer function for converting the input HDR image data into output image data for display. The converter analyzes and tone maps HDR frames at a rate sufficient to allow output video to be generated at a desired frame rate while receiving the image data from frames of the input HDR video at an input frame rate.

A method, computer system, and a computer program product for image capture prevention is provided. The present invention may include, in response to embedding at least one digital security mark in a visual communication, securing the visual communication. The present invention may also include preventing, based on the embedded at least one digital security mark, an image capture of the secured visual communication.

A mobile terminal includes a memory, and a processor coupled to the memory, wherein the processor executes a process comprising acquiring a frame with taking a photograph, acquiring document image data of a document from the frame, detecting shine on the document image data, determining whether the shine is equal to or smaller than a shine baseline, and acquiring a frame with retaking a photograph when the shine is neither equal to nor smaller than the shine baseline.

To make it possible to search for a document of the same kind as that of a document relating to a scanned image both highly accurately and simply. An image processing apparatus including: a calculation unit configured to calculate a degree of similarity between an input document image and each of a plurality of document images by repeatedly performing calculation of a degree of similarity while changing each range including a specific area, which is a calculation target of a degree of similarity, in the input document image and the plurality of document images; and a determination unit configured to determine a document image whose calculated degree of similarity is the highest of the plurality of document images as a document image that matches with the input document image.

Embodiments related to local tone mapping for symbol reading. A local pixel neighborhood metric is determined for at least one raw pixel in a region-of-interest, which identifies on one or more raw pixels near the at least one raw pixel. A local mapping function is determined for the at least one raw pixel that maps the value of the raw pixel to a mapped pixel value with a mapped bit depth that is smaller than the bit depth associated with the raw image. The local mapping function is based on a value of at least one other raw pixel near the at least one raw pixel within the local pixel neighborhood metric, and at least one parameter determined based on the raw image. A mapped image is computed for the region-of-interest by applying the local mapping function to the raw image.

An image processing apparatus of an embodiment includes an image processing unit to convert a color image to a monochrome image. The color image comprises pixels with a plurality of color components. The image processing unit is configured to generate a histogram from the monochrome image showing a color intensity gradation in the monochrome image by pixel frequency. A processor is configured to obtain a first threshold value based on the histogram, determine for each color component of each pixel in the color image whether or not each color component of the pixel is light based on the first threshold value, and generate a corrected color image by removing a background coloring from the color image by correcting each pixel for which all the color components are determined to be light.

An apparatus includes an image generation unit configured to generate, from an input image, a hierarchical image including a plurality of images different in frequency band from one another, a first gain map generation unit configured to generate a first gain map with use of the hierarchical image and a first tone characteristic, a second gain map generation unit configured to generate a second gain map with use of the first gain map and a second tone characteristic, and a processing unit configured to apply the second gain map to the input image.

An image processing apparatus includes an obtaining unit to obtain image data and a dynamic range conversion unit to convert an input luminance signal included in the image data into an output luminance signal for an image printing apparatus by using a conversion parameter. A dynamic range of luminance of the converted image data is narrower than that of the unconverted image data before the dynamic range conversion. When the input luminance signal indicates an input black reference luminance value, the output luminance signal indicates an output black reference luminance value, and, when the input luminance signal indicates a predetermined reference input luminance value, the output luminance signal indicates a reference output luminance value, the reference output luminance value being a value calculated based on the predetermined reference input luminance value and the output black reference luminance value for observing a print product to be printed by the printing apparatus.

A system accesses an image with each pixel of the image having luminance values each representative of a color component of the pixel. The system generates a first histogram for aggregate luminance values of the image, and accesses a target histogram for the image representative of a desired global image contrast. The system computes a transfer function based on the first histogram and the target histogram such that when the transfer function is applied, a histogram of the modified aggregate luminance values is within a threshold similarity of the target histogram. The system modifies the image by applying the transfer function to the luminance values of the image to produce a tone mapped image, and outputs the modified image.

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.