Image sharpening is done by adding to the original image a signal proportional to a high-pass filtered version of the image. This process, referred to as unsharp masking on a one-dimensional signal, involves two steps. The original image is first filtered by a high-pass filter that extracts the high-frequency components. A scaled version of the high-pass filter output is then added to the original image, thereby producing a sharpened image.
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Features and Benefits
- Filter Type and Functionality:
- The core uses an unsharp masking kernel to sharpen an image.
- It operates as a convolution filter with special coefficients.
- Implementation :
- The filter is designed to work on a 3x3 matrix or window.
- It utilizes four one-line buffers to store video data, filling them sequentially.
- Shift registers are used to read three pixels from each of three video lines, forming the 3x3 2D array for the filter's input.
- Color Channel Processing :
- The core applies the median filtering process exclusively to the Y (luminance) channel of the video stream.
- The Cb and Cr (chrominance) components are synchronized with the Y channel by passing them through delay registers.
Licensing Options
Encrypted RTL free with any Libero license
Documentation
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