Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A method for geometrically correcting a distorted input frame and generating an undistorted output frame includes capturing and storing an input frame in an external memory, allocating an output frame with an output frame size and dividing the output frame into output blocks, computing a size of the input blocks in the input image corresponding to each output blocks, checking if the size of the input blocks is less than the size of the internal memory and if not dividing until the required input block size of divided sub blocks is less than the size of the internal memory, programming an apparatus with input parameters, fetching the input blocks into an internal memory, processing each of the divided sub blocks sequentially and processing the next output block in step until all the output blocks are processed; and composing the output frame for each of the blocks in the output frame.

Abstract: An apparatus and method for geometrically correcting a distorted input frame and generating an undistorted output frame. The apparatus includes an external memory block that stores the input frame, a counter block to compute output coordinates of the output frame for a region based on a block size of the region, a back mapping block to generate input coordinates corresponding to each of the output coordinates, a bounding module to compute input blocks corresponding to each of the input coordinates, a buffer module to fetch data corresponding to each of the input blocks, an interpolation module to interpolate data from the buffer module and a display module that receives the interpolated data for each of the regions and stitch an output image. The method includes determining the size of the output block based on a magnification data.

Abstract: Disclosed examples include integrated circuits, merge circuits and methods of processing multiple-exposure image data, in which a single pre-processing circuit is used for pre-processing first input exposure data associated with a first exposure of the image, and then for pre-processing second input exposure data associated with a second exposure of the image, and the first and second pre-processed exposure data are merged to generate merged image data for tone mapping and other post-processing. An example merge circuit includes a configurable gain circuit to apply a gain to the first and/or second exposure data, as well as a configurable weighting circuit with a weight calculation circuit and a motion adaptive filter circuit to compute a first and second weight values for merging the pre-processed first and second exposure data.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

Abstract: Disclosed examples include integrated circuits, merge circuits and methods of processing multiple-exposure image data, in which a single pre-processing circuit is used for pre-processing first input exposure data associated with a first exposure of the image, and then for pre-processing second input exposure data associated with a second exposure of the image, and the first and second pre-processed exposure data are merged to generate merged image data for tone mapping and other post-processing. An example merge circuit includes a configurable gain circuit to apply a gain to the first and/or second exposure data, as well as a configurable weighting circuit with a weight calculation circuit and a motion adaptive filter circuit to compute a first and second weight values for merging the pre-processed first and second exposure data.

Abstract: A method for geometrically correcting a distorted input frame and generating an undistorted output frame includes capturing and storing an input frame in an external memory, allocating an output frame with an output frame size and dividing the output frame into output blocks, computing a size of the input blocks in the input image corresponding to each output blocks, checking if the size of the input blocks is less than the size of the internal memory and if not dividing until the required input block size of divided sub blocks is less than the size of the internal memory, programming an apparatus with input parameters, fetching the input blocks into an internal memory, processing each of the divided sub blocks sequentially and processing the next output block in step until all the output blocks are processed; and composing the output frame for each of the blocks in the output frame.

Abstract: An apparatus and method for geometrically correcting a distorted input frame and generating an undistorted output frame. The apparatus includes an external memory block that stores the input frame, a counter block to compute output coordinates of the output frame for a region based on a block size of the region, a back mapping block to generate input coordinates corresponding to each of the output coordinates, a bounding module to compute input blocks corresponding to each of the input coordinates, a buffer module to fetch data corresponding to each of the input blocks, an interpolation module to interpolate data from the buffer module and a display module that receives the interpolated data for each of the regions and stitch an output image. The method includes determining the size of the output block based on a magnification data.

Abstract: An apparatus and method for geometrically correcting an arbitrary shaped input frame and generating an undistorted output frame. The method includes capturing arbitrary shaped input images with multiple optical devices and processing the images, identifying redundant blocks and valid blocks in each of the images, allocating an output frame with an output frame size and dividing the output frame into regions shaped as a rectangle, programming the apparatus and disabling processing for invalid blocks in each of the regions, fetching data corresponding to each of the valid blocks and storing in an internal memory, interpolating data for each of the regions with stitching and composing the valid blocks for the output frame and displaying the output frame on a display module.

Abstract: Disclosed examples include integrated circuits, merge circuits and methods of processing multiple-exposure image data, in which a single pre-processing circuit is used for pre-processing first input exposure data associated with a first exposure of the image, and then for pre-processing second input exposure data associated with a second exposure of the image, and the first and second pre-processed exposure data are merged to generate merged image data for tone mapping and other post-processing. An example merge circuit includes a configurable gain circuit to apply a gain to the first and/or second exposure data, as well as a configurable weighting circuit with a weight calculation circuit and a motion adaptive filter circuit to compute a first and second weight values for merging the pre-processed first and second exposure data.

Abstract: Disclosed examples include integrated circuits, merge circuits and methods of processing multiple-exposure image data, in which a single pre-processing circuit is used for pre-processing first input exposure data associated with a first exposure of the image, and then for pre-processing second input exposure data associated with a second exposure of the image, and the first and second pre-processed exposure data are merged to generate merged image data for tone mapping and other post-processing. An example merge circuit includes a configurable gain circuit to apply a gain to the first and/or second exposure data, as well as a configurable weighting circuit with a weight calculation circuit and a motion adaptive filter circuit to compute a first and second weight values for merging the pre-processed first and second exposure data.

Abstract: An image processor capable of processing wide-dynamic-range (WDR) image data using a native 12-bit image pipe. In one embodiment, the processor receives compressed wide-dynamic-range image data from a WDR image sensor. The compressed wide-dynamic-range image data is decompanded. Long-exposure image data is then extracted from the decompanded image data, and pre-processing is performed on the long-exposure image data. Short-exposure image data is also extracted from the decompanded image data, and pre-processing is performed on the short-exposure image data. The pre-processed long-exposure image data is merged with the pre-processed short-exposure image data. Tone mapping is performed on the merged image data.

Abstract: Aspects of the present disclosure are drawn to a system and method for efficiently addressing the lens distortion problem in digital imaging. Aspects include a coarse mapping of the output pixel location position, further fine mapping of the pixel location position and interpolation of the pixel data. The coarse mapping of the output pixel location position and the fine mapping of the pixel location position are drawn to a back-mapping of output pixel location positions to the corresponding input pixel location positions.

Abstract: An image processor capable of processing wide-dynamic-range (WDR) image data using a native 12-bit image pipe. In one embodiment, the processor receives compressed wide-dynamic-range image data from a WDR image sensor. The compressed wide-dynamic-range image data is decompanded. Long-exposure image data is then extracted from the decompanded image data, and pre-processing is performed on the long-exposure image data. Short-exposure image data is also extracted from the decompanded image data, and pre-processing is performed on the short-exposure image data. The pre-processed long-exposure image data is merged with the pre-processed short-exposure image data. Tone mapping is performed on the merged image data.