An image processing apparatus for converting color data into gray data extracts an object included in the color data in a page, and determines, based on color information and position information on a first object and a second object extracted, whether at least one of the first object and the second object is to be a target of conversion of a color value of the color data into a gray value with improved discriminability. The image processing apparatus controls to convert the color value of the object into a gray value by a conversion targeting all color values, or into a gray value with the improved discriminability, based on the determination whether or not to be the target of conversion.

The APPARATUSES, METHODS AND SYSTEMS FOR REMOTE DEPOSIT CAPTURE WITH ENHANCED IMAGE DETECTION (hereinafter “RDC-Detection”) provides a platform for remote deposit by submitting captured images of a check via a user device, wherein the RDC-Detection transforms captured check images and/or entered check deposit information inputs via RDC-Detection components into deposit confirmation outputs. For example, in one embodiment, a financial institution may receive a check image captured by a scanner, a camera, and/or the like, and process the check image to extract deposit information to process the deposit request.

An image processing apparatus is provided. The image processing apparatus includes a data receiver, an image specifier, a replacement specifier, and a data generator. The data receiver receives data. The image specifier specifies a first image contained in the data. The replacement specifier specifies replacement data for the first image on the basis of a characteristic of the data. The data generator generates data in which the first image has been replaced with an image represented by the replacement data.

Systems and methods for extracting text from images rendered on a display screen, the method comprising capturing a color image rendered on a display screen; and transforming the color image to binary color image, preserving text-like graphic components and filtering out non-text-like graphical components. The transforming comprises scanning one or more areas of the color image; and detecting continuous bi-tonal regions in the scanned one or more areas, wherein the continuous bi-tonal regions have large variances.

An image processing apparatus includes a receiving unit, a generating unit, and a determining unit. The receiving unit receives first image data. The first image data includes a first part corresponding to a manuscript and a second part corresponding to a non-manuscript. The generating unit generates second image data by processing the second part. The determining unit determines whether the manuscript is processed as a monochromatic image or a color image, based on the second image data. The determining unit outputs a result of the determination.

An image processing apparatus has a storage configured to store image data representing a color image, the image data being constituted by multiple pixels, each of the multiple pixels having a gradation value, and a controller. The controller is configured to extract pixels, from among the multiple pixels, within a specific color range as target pixels, adjust the gradation values of the target pixels such that brightness values of the target pixels are lowered, generate a histogram of index values corresponding to quantities of the brightness values of the multiple pixels constituting the image data after the gradation values of the target pixels are adjusted, set a first threshold value based on the histogram as generated, and apply a binarizing process to the image data using the first threshold value.

An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments yielding efficiency gains for a large variety of business processes. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system allows multiple users to access the same acquisition device for analog data. In some embodiments, one or more users can virtually reacquire data provided by multiple analog or digital sources. The acquired raw data can be processed by each user according to his personal preferences and/or requirements. The preferred processing settings and attributes are determined interactively in real time as well as non real time, automatically and a combination thereof.

This application relates to an image acquisition method and apparatus, a device, and a storage medium, and relates to the field of image processing technologies. The method includes obtaining a first image, the first image being an image acquired by controlling an exposure time of an image acquisition component according to a brightness reference value; obtaining an exposure state of the first image; updating the brightness reference value according to the exposure state of the first image, to obtain an updated brightness reference value; controlling the exposure time of the image acquisition component according to the updated brightness reference value; and acquiring a second image.

A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

An image reading apparatus of an embodiment includes a reading unit and a controller. The reading unit simultaneously reads a plurality of documents on a document table and generates an overall scan image as color image data including images of all the documents in the plurality of documents. The controller is configured to isolate an image of each document from the overall scan image, perform a color determination on each of the isolated images to determine if the document corresponding to the isolated image is a color document or a non-color document, and encode each of the isolated images with an image encoding method selected based on the color determination for the isolated image.