Abstract:
An image processing device includes an input device which receives image adjustment selections from an associated user interface device. Memory of the device stores a user interface generator, which generates a background adjustment selector for presenting to a user on the user interface device; a background adjustment component which, for each of a plurality of pixels of an input image computes adjusted color values, as a function of at least one of: (a) a background adjustment factor computed for the respective pixel, and (b) a background class derived from the computed background adjustment factor, the background adjustment factor being a function of a background strength of the pixel and a luminance strength of the pixel; and an image output component outputs an output image derived from the adjusted color values for the plurality of pixels. A processor implements the background adjustment component and image output component.
Abstract:
An image processing device includes an input device which receives image adjustment selections from an associated user interface device. Memory of the device stores a user interface generator, which generates a background adjustment selector for presenting to a user on the user interface device; a background adjustment component which, for each of a plurality of pixels of an input image computes adjusted color values, as a function of at least one of: (a) a background adjustment factor computed for the respective pixel, and (b) a background class derived from the computed background adjustment factor, the background adjustment factor being a function of a background strength of the pixel and a luminance strength of the pixel; and an image output component outputs an output image derived from the adjusted color values for the plurality of pixels. A processor implements the background adjustment component and image output component.
Abstract:
An image processing system and method are described which use entropy values in processing the image. For each of a plurality of segments of an image, the segment is considered as a stream of bits and a bit difference is computed between pairs of sequential bit sequences in the stream of bits. An entropy value of the segment is computed as a function of the bit differences. The image is processing based on the computed entropy values, which may include compressing some or all of the image segments using an acceleration factor that is based on the computed entropy value for the segment. In this way, differences in entropy, which correlate with the compressibility of the image segment, can ensure an optimal compression of the segment, or in some cases, no compression.
Abstract:
An image processing system and method are described which use entropy values in processing the image. For each of a plurality of segments of an image, the segment is considered as a stream of bits and a bit difference is computed between pairs of sequential bit sequences in the stream of bits. An entropy value of the segment is computed as a function of the bit differences. The image is processing based on the computed entropy values, which may include compressing some or all of the image segments using an acceleration factor that is based on the computed entropy value for the segment. In this way, differences in entropy, which correlate with the compressibility of the image segment, can ensure an optimal compression of the segment, or in some cases, no compression.
Abstract:
Methods and systems for processing a low resolution image via a low resolution error diffusion algorithm. A low resolution binary output pixel can be generated utilizing a general error diffusion algorithm. The low-resolution binary output pixel can be converted to a predetermined number of interpolated sub-pixel values and each interpolated sub-pixel values can be compared with a threshold in order to generate a scaled slow-scan output pixel utilizing the low resolution error diffusion algorithm. The low resolution error diffusion algorithm includes a highlight threshold adjustment module that adjusts level in order to prevent the scaled slow-scan output pixel from firing around the low resolution binary output pixel within a highlight region. A slow scan error with respect to the scaled slow-scan output pixel can be distributed and stored via error diffusion filter coefficients within an error buffer without additional memory.
Abstract:
A method, non-transitory computer readable medium, and apparatus for performing error diffusion are disclosed. For example, the method quantizes an error for a first pixel of a plurality of pixels in a first row, diffuses the error to an adjacent pixel of the plurality of pixels in the first row, performs the quantizing and the diffusing for each remaining pixel of the plurality of pixels in the first row and applies the error that is quantized for each one of the plurality of pixels the first row in a desired number of different directions in a plurality of parallel operations that is equal to the desired number of different directions.
Abstract:
An inkjet printer that is configured to perform multi-pass printing operations includes at least one printhead, a memory and a controller. The controller receives a input row of image data for one pass including a plurality of pixels. The controller uses a table of index lookup offsets in the memory to generate a row of output image data with at least one pixel at a first index in the input row being located at a second index in the output row. The controller operates the inkjets in the printhead to eject at least one drop of ink using an inkjet in the printhead that corresponds to the second index in the output row and that is different than another inkjet in the printhead that corresponds to the first index in the input row.
Abstract:
An inkjet printer estimates ink usage in the printer with reference to image pixels and a history of inkjet firing for each inkjet. The printer includes an apparatus that generates an ink mass for each image pixel with reference to the image pixel and a predetermined number of previously ejected image pixels and identifies a total ink mass measurement for a printhead with reference to the ink masses generated for the image pixels of an image to be printed by the inkjet printer.