An image processing apparatus comprises: an obtaining unit configured to obtain image data of an original read by a reading unit; a detection unit configured to detect an object from the image data; a color determination unit configured to determine whether an object detected by the detection unit is a color image or a monochrome image; a conversion unit configured to convert each object determined to be a monochrome image by the color determination unit into a color image; and a display unit configured to perform a display, for each object converted by the conversion unit, in which editing by a user is possible.

An image processing apparatus comprises: an obtaining unit configured to obtain image data of an original read by a reading unit; a detection unit configured to detect an object from the image data; a color determination unit configured to determine whether an object detected by the detection unit is a color image or a monochrome image; a conversion unit configured to convert each object determined to be a monochrome image by the color determination unit into a color image; and a display unit configured to perform a display, for each object converted by the conversion unit, in which editing by a user is possible.

This document describes techniques and apparatuses for implementing monochrome-color mapping using a monochromatic imager and a color map sensor. These techniques and apparatuses enable better resolution, depth of color, or low-light sensitivity than many conventional sensor arrays.

This document describes techniques and apparatuses for implementing monochrome-color mapping using a monochromatic imager and a color map sensor. These techniques and apparatuses enable better resolution, depth of color, or low-light sensitivity than many conventional sensor arrays.

Various techniques are provided to generate enhanced visual representations of captured infrared (IR) data values. For example, various methods, systems, devices, and machine-readable mediums are provided that may be used to map color and/or grayscale values to temperature values. Such mapping permits a user to intuitively interpret the temperatures associated with the IR data values. The temperatures may be presented as a visual representation of the captured IR data values having an enhanced contrast.

Various techniques are provided to generate enhanced visual representations of captured infrared (IR) data values. For example, various methods, systems, devices, and machine-readable mediums are provided that may be used to map color and/or grayscale values to temperature values. Such mapping permits a user to intuitively interpret the temperatures associated with the IR data values. The temperatures may be presented as a visual representation of the captured IR data values having an enhanced contrast.

Disclosed herein is a method and system for performing context-based transformation of a video. In an embodiment, a scene descriptor and a textual descriptor are generated for each scene corresponding to the video. Further, an audio context descriptor is generated based on semantic analysis of the textual descriptor. Subsequently, the audio context descriptor and the scene descriptor are correlated to generate a scene context descriptor for each scene. Finally, the video is translated using the scene context descriptor, thereby transforming the video based on context. In some embodiments, the method of present disclosure is capable of automatically changing one or more attributes, such as color of one or more scenes in the video, in response to change in the context of audio/speech signals corresponding to the video. Thus, the present method helps in effective rendering of a video to users.

Disclosed herein is a method and system for performing context-based transformation of a video. In an embodiment, a scene descriptor and a textual descriptor are generated for each scene corresponding to the video. Further, an audio context descriptor is generated based on semantic analysis of the textual descriptor. Subsequently, the audio context descriptor and the scene descriptor are correlated to generate a scene context descriptor for each scene. Finally, the video is translated using the scene context descriptor, thereby transforming the video based on context. In some embodiments, the method of present disclosure is capable of automatically changing one or more attributes, such as color of one or more scenes in the video, in response to change in the context of audio/speech signals corresponding to the video. Thus, the present method helps in effective rendering of a video to users.

A method is provided for constructing a composite image. The method comprises illuminating an object with light of a particular spectral band, capturing a digital image of the illuminated object using a monochromatic image sensor of an imaging device to obtain a monochrome image, repeating the steps of illuminating and capturing to obtain a plurality of monochrome images of the object illuminated by light of a plurality of different spectral bands, processing the plurality of monochrome images to generate image data for one or more output channels, and generating a color composite image from the image data. The color composite image comprises the one or more output channels.

A method is provided for constructing a composite image. The method comprises illuminating an object with light of a particular spectral band, capturing a digital image of the illuminated object using a monochromatic image sensor of an imaging device to obtain a monochrome image, repeating the steps of illuminating and capturing to obtain a plurality of monochrome images of the object illuminated by light of a plurality of different spectral bands, processing the plurality of monochrome images to generate image data for one or more output channels, and generating a color composite image from the image data. The color composite image comprises the one or more output channels.