Image processing apparatuses have a unit for registering settings in applications or a unit for registering application settings on a portal screen, but do not allow these units to function in a coordinated manner. For example, if a user who frequently uses a certain application registers settings of the application, the settings may also be useful to other users. However, users who mainly use their own portal screens cannot invoke the settings. Settings of an application registered as a shared custom button are automatically registered as frequently used settings in the application. Similarly, settings registered as frequently used settings in an application are automatically registered as a shared custom button.

The present disclosure relates a method for compressing files in a multi-function printer and the multi-function printer (MFP) thereof. The method, performed by the MFP, includes: receiving one or more files for scanning; determining a size of the one or more files; determining whether the size of the one or more files is greater than or equal to a threshold value; and after scanning the one or more files, compressing the one or more files using a lossless compression technique in response to determining that the size of the one or more files is greater than or equal to the threshold value. This approach not only increases file storage capacity in the multi-function printer significantly but also reduces time required for transferring compressed files over a communication network. Consequently, this approach improves file transmission speed and network bandwidth.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

A high-definition image is preprocessed to generate a substantially losslessly-reconstructable set of image components that include a relatively low-resolution base image and a plurality of extra-data images that provide for progressively substantially losslessly reconstructing the high-definition image from the base image, wherein a single primary-color component of the extra-data images provides for relatively quickly reconstructing full-resolution intermediate images during the substantially lossless-reconstruction process.

A high-definition image is preprocessed to generate a substantially losslessly-reconstructable set of image components that include a relatively low-resolution base image and a plurality of extra-data images that provide for progressively substantially losslessly reconstructing the high-definition image from the base image, wherein a single primary-color component of the extra-data images provides for relatively quickly reconstructing full-resolution intermediate images during the substantially lossless-reconstruction process.

An information processing apparatus includes a processor configured to receive first image data representing front sides of plural sheets, that is generated by one reading, receive second image data representing back sides of the plural sheets, that is generated by one reading, and associate a front side and a back side of each sheet with each other, based on a positional relationship between each sheet represented in the first image data and each sheet represented in the second image data.

An information processing apparatus includes a processor configured to receive first image data representing front sides of plural sheets, that is generated by one reading, receive second image data representing back sides of the plural sheets, that is generated by one reading, and associate a front side and a back side of each sheet with each other, based on a positional relationship between each sheet represented in the first image data and each sheet represented in the second image data.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.