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:
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 the threshold 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:
Image scaling disclosed herein comprises receiving an image from an image capturing device and partitioning an image into at least one image tile using a partitioning module. A determination is made if the image tile requires slow scan scaling and/or fast scan scaling. The image tile is subject to slow scan scaling. The image tile is then transposed, scaled in the fast scan direction, and then again transposed to an original orientation. The tile is reassembled into a scaled image and may be rendered by a rendering device.
Abstract:
Image scaling disclosed herein comprises receiving an image from an image capturing device and partitioning an image into at least one image tile using a partitioning module. A determination is made if the image tile requires slow scan scaling and/or fast scan scaling. The image tile is subject to slow scan scaling. The image tile is then transposed, scaled in the fast scan direction, and then again transposed to an original orientation. The tile is reassembled into a scaled image and may be rendered by a rendering device.