Systems and methods are provided for handling print data. One embodiment is a system that includes an interface that receives rasterized print data, a memory that stores the rasterized print data; and a print controller that compresses each scanline of the rasterized print data by culling a region of leading whitespace, culling a region of trailing whitespace, compressing a data region disposed between the leading whitespace and the trailing whitespace, and inserting a tag having whitespace offset information for the data region within the scanline.

Systems and methods are provided for handling print data. One embodiment is a system that includes an interface that receives rasterized print data, a memory that stores the rasterized print data; and a print controller that compresses each scanline of the rasterized print data by culling a region of leading whitespace, culling a region of trailing whitespace, compressing a data region disposed between the leading whitespace and the trailing whitespace, and inserting a tag having whitespace offset information for the data region within the scanline.

For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.

Systems and methods for encoding high resolution data associated with a relatively large number of bits to an encoded form having a relatively reduced number of bits. The method includes, by a processor: receiving an input image comprising one or more high resolution objects. The method further includes, for each of the one or more high resolution objects: identifying an object family for that object and determining whether a reference table exists for the object family. If a reference table exists for the object family, the method includes determining a size of that object, and identifying a tag based on the size. The method also includes encoding that object to form an encoded object having a relatively reduced number of bits, associating the identified tag with the encoded object, and saving the encoded object.

For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.

Systems and methods for encoding high resolution data associated with a relatively large number of bits to an encoded form having a relatively reduced number of bits. The method includes, by a processor: receiving an input image comprising one or more high resolution objects. The method further includes, for each of the one or more high resolution objects: identifying an object family for that object and determining whether a reference table exists for the object family. If a reference table exists for the object family, the method includes determining a size of that object, and identifying a tag based on the size. The method also includes encoding that object to form an encoded object having a relatively reduced number of bits, associating the identified tag with the encoded object, and saving the encoded object.

The present invention relates to a method of concurrently storing visible grey scale or color information of an image and additional digital information on a data carrier.

An example embodiment may involve obtaining an mn pixel cell from an input image. Each of the mn pixels in the mn pixel cell may be associated with at least one color value. An mn attribute cell may be determined, elements of which may be associated in a one-to-one fashion with respective pixels in the mn pixel cell. The mn pixel cell may be compressed in a lossy fashion, and the mn attribute cell may be compressed in a lossless fashion. Compression of the mn pixel cell may be based on at least part of the mn attribute cell. An interleaved representation of the compressed mn pixel cell and the compressed mn attribute cell may be written to an output medium.

The present invention provides an image contrast enhancement method, which respectively calculates the absolute values of the differences of the gray scales between the pixels of two adjacent row of the same column and between the pixels of two adjacent column of the same row, and respectively calculates the first gray scale value weight and the second gray scale value weight according to the absolute values. Then, the cumulative calculation and the normalization process are performed according to the first, the second gray scale value weights. Ultimately, the enhancement gray scale table is obtained for redistributing the gray scale values of the respective pixels, which can raise the contrast of the image, reduce the distortion of the image and optimize the display result.

The present invention provides an image contrast enhancement method, which respectively calculates the absolute values of the differences of the gray scales between the pixels of two adjacent row of the same column and between the pixels of two adjacent column of the same row, and respectively calculates the first gray scale value weight and the second gray scale value weight according to the absolute values. Then, the cumulative calculation and the normalization process are performed according to the first, the second gray scale value weights. Ultimately, the enhancement gray scale table is obtained for redistributing the gray scale values of the respective pixels, which can raise the contrast of the image, reduce the distortion of the image and optimize the display result.