Abstract: A method and structure for implementing color image acquisition and processing. Combined and direct interpolation and conversion from a first to a second color space of sensor color data provided to a device capable of receiving and displaying color image data, followed by color correction in the second color space, greatly simplifies acquisition and processing of color image data. Interpolation in the combined interpolation and conversion can optionally be vertex-based interpolation in which color data for virtual pixels for one or more pixels of interest can occur in parallel fashion. Conversion in the combined interpolation and conversion can be performed in accordance with a simplified conversion matrix that does not require the use of multiplier logic to be implemented but that does require compensation during subsequent color correction of the color data, also in the second color space.

Abstract: A method and structure for implementing color image acquisition and processing. Combined and direct interpolation and conversion from a first to a second color space of sensor color data provided to a device capable of receiving and displaying color image data, followed by color correction in the second color space, greatly simplifies acquisition and processing of color image data. Interpolation in the combined interpolation and conversion can optionally be vertex-based interpolation in which color data for virtual pixels for one or more pixels of interest can occur in parallel fashion. Conversion in the combined interpolation and conversion can be performed in accordance with a simplified conversion matrix that does not require the use of multiplier logic to be implemented but that does require compensation during subsequent color correction of the color data, also in the second color space.

Abstract: A system and method for resizing an original image into a resized image is provided. The system processes the luminance channel and the chrominance channels (Cb and Cr) of the original image separately. The original image is divided into original sub-blocks of appropriate size. Each original sub-block may be processed into a corresponding resized sub-block. Only the luminance and chrominance data from one of the original sub-blocks may be used to create a corresponding resized sub-block, thus no overlap techniques need be employed. The system and method resizes the original sub-blocks into the resized sub-blocks without the use of multipliers.

Abstract: Method, software, and apparatus (100, 300, 400) for performing rate controlled image compression are provided. A quantization matrix scaling factor that results in compression to a predetermined byte size is determined by first summing the absolute value of the difference of neighboring pixels selected from a plurality of rectangular regions of the image. The sums are then input to a model function that is evaluated to obtain the quantization matrix scaling factor. According to preferred embodiments the model function involves a dot product operation between a vector that includes the sums and a second vector that includes region weights.