Systems and methods for multi-dimensional enhancement using fictional border data
A multi-dimensional image data enhancement system is configured to reduce the effect of blanking areas on the large kernel processing of pixel data. Thus, when pixels comprising blanking data are processed, additional blanking data can be added to the blanking data such that the additional “fictional blanking data” will occupy an area within the kernel size instead of image data in an adjacent frame or non-related areas of the current frame.
1. A multi-dimensional image data enhancement device, comprising:
a convolutional low pass filter configured to convolutionally filter image data in a plurality of dimensions;
a feedback loop coupled to an output of the convolutional low pass filter, the feedback loop configured to receive filtered data from the output of the convolutional low pass filter; and
a multiplexer, coupled to the feedback loop and an input of the convolutional low pass filter, the multiplexer configured to multiplex image data and filtered data under the control of a control signal, the control signal configured to indicate when the image data comprises blanking data and to control the operational rate of the convolutional low pass filter.
2. The multi-dimensional image data enhancement device of claim 1 , wherein the control signal is configured to cause the operational rate of the convolutional filter to speed up in order to add fictional blanking data to the blanking data.
3. The multi-dimensional image data enhancement device of claim 1 , wherein convolutional filtering the image data further comprises low pass filtering and decimating the image data and using the resulting processing overhead to effectively increase the operational rate of the convolutional filter.
4. The multi-dimensional image data enhancement device of claim 1 , wherein convolutional filtering the pixel data during vertical blanking time comprises vertical low pass filtering the pixel data and horizontally decimating the pixel data to produce vertical blanking lines that comprise horizontally decimated data, and thereby increasing the number of vertical lines that can be processed during vertical blanking time.
5. The multi-dimensional image data enhancement device of claim 3 , wherein the convolutional filtering is performed in a plurality of dimensions.
6. The multi-dimensional image data enhancement device of claim 1 , wherein the convolutional filtering comprises performing low pass filtering in a plurality of dimensions.
7. The multi-dimensional image data enhancement device of claim 1 , wherein the feedback loop is configured to provide artificial data for the blanking data including the fictional blanking data, such that the artificial data is used when processing image data near the edge of a current frame.
8. The multi-dimensional image data enhancement device of claim 7 , wherein the feedback loop is further configured to iteratively provide artificial data for the blanking area including the fictional blanking area.
9. The multi-dimensional image data enhancement device of claim 8 , wherein iteratively providing artificial data comprises feeding back the convolutionally filtered data and multiplexing the convolutionally filtered data with newly received image data during blanking intervals under the control of the control signal.