An image compressing device includes: a histogram creating unit configured to create a histogram regarding an input image; an original type recognizing unit configured to recognize an original type of the input image using the histogram; and an image compressing unit configured to perform a compression process for creating a high-compressed image file from the input image and to control a compression mode of the compression process depending on at least the original type recognized by the original type recognizing unit.

The invention relates to a method for converting (S1) an image (7) by means of an evaluation unit (4) of a motor vehicle (1), wherein the image (7) is captured from an environmental region (6) of a motor vehicle (1) by means of a camera (3) of the motor vehicle (1), and the image (7) includes an alpha channel (12) and at least one color channel in a predetermined color model, and the image (7) is converted into an alpha channel (12) and a Y channel (9) of a YUV color model and a U channel (10) of the YUV color model and a V channel (11) of the YUV color model, wherein in converting the image (7), the alpha channel (12) and the Y channel (9) and the U channel (10) and the V channel (11) are embedded in a converted image (8) of the image (7).

Dithering techniques for images are described herein. An input image of a first bit depth is separated into a luma and one or more chroma components. A model of the optical transfer function (OTF) of the human visual system (HVS) is used to generate dither noise which is added to the chroma components of the input image. The model of the OTF is adapted in response to viewing distances determined based on the spatial resolution of the chroma components. An image based on the original input luma component and the noise-modified chroma components is quantized to a second bit depth, which is lower than the first bit depth, to generate an output dithered image.

A method for harmonizing colors of an original image is disclosed. The method comprises: computing a saliency map of the original image, for each of a plurality of color harmonic schemes: determining a temporary harmonized image from the original image according to the current color harmonic scheme, computing a saliency map of the temporary harmonized image, comparing the saliency map of the original image and the saliency map of the temporary harmonized image, in order to obtain a saliency comparison result, computing a corrected color comparison result from colors of the original image, colors of the current color harmonic scheme and the saliency comparison result, selecting, as the harmonized image, the temporary harmonized image obtained with the color harmonic scheme minimizing the corrected color comparison result.

Embodiments described herein provide for the reuse of some locations in a hash table of color conversions during processing of a print job, while preventing the reuse of other locations. If a determination is made that the hash table is to be re-initialized, then the locations in the hash table that are marked as non-persistent are marked as saved to allow them to be reused, while the locations in the hash table that are marked as persistent are prevented from being reused. During processing of the print job subsequent to re-initialization of the hash table, if a color in the print job does not have a color conversion, then a location in the hash table is identified that is marked as saved. If the location stores the color conversion for the color, then the non-persistent mark is restored for the location to bypass performing a color conversion for the color.

A disclosed scaler resource includes a color management module configured to support two or more color space transformations and two or more color temperature adjustment profiles and to receive first pixel data and perform color processing of the first pixel data to produce second pixel data. The color processing includes a color space transformation in accordance with any of the supported color space transformation matrices and a color temperature adjustment in accordance with any of the supported color temperature adjustment profiles. The color processing is configured wherein a ratio of primary colors produced by performing the color processing on first pixel data corresponding to any primary color is independent of the selected color temperature adjustment profile. The color space transformation may be performed before or after the color temperature adjustment. When performed before, the color transformation matrix is modified to reflect the color temperature adjust profile.

Methods, non-transitory machine readable media, and computing devices that provide improved dictionary-based compression are disclosed. With this technology, a first portion of an input data stream is compressed using a first dictionary. A second dictionary is trained when the first dictionary is determined to be stale. The dictionary can be determined to be stale based on a size of the input data stream compressed using the first dictionary or a compression ratio decreasing by a threshold, for example. The first dictionary can be stored with metadata associated with the compressed first portion of the input data stream. Accordingly, this technology improves compression ratios, eliminates the need for reference counting, and facilitates improved reclamation of orphan dictionaries, among other advantages.

Methods, non-transitory machine readable media, and computing devices that provide improved dictionary-based compression are disclosed. With this technology, a first portion of an input data stream is compressed using a first dictionary. A second dictionary is trained when the first dictionary is determined to be stale. The dictionary can be determined to be stale based on a size of the input data stream compressed using the first dictionary or a compression ratio decreasing by a threshold, for example. The first dictionary can be stored with metadata associated with the compressed first portion of the input data stream. Accordingly, this technology improves compression ratios, eliminates the need for reference counting, and facilitates improved reclamation of orphan dictionaries, among other advantages.

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.