DSP Implementation of Wavelet Image Enhancement
2007
The paper presents a new Adaptive Gain calculating approach when using the Adaptive Image Enhancement algorithm
based on Wavelet Transform. The basic technique is to select two different thresholds which divide the input into three
parts after the wavelet coefficients are normalized. For the wavelet coefficients less than the smaller threshold, just make
the output zero. And this provides a de-noise effect. The output remains unchanged when the wavelet coefficients are
greater than the larger one. For the last part, find a function to make the output figure S shape. So the algorithm can give
a clear contrast and the function is the key. The final goal is to use this method in the process of Online Vision Measure,
we have chosen the TI TMS320 DM642 Digital Signal Processor or DSP because of its powerful multimedia processing
capability. What's more, the TI corporation has provided a variety of software develop libraries as well as the 3rd party
tools. All such tools make the development more rapid and convenient. After the technique this paper provides is
implemented on DSP, a series of optimization will be performed to make it suitable for industry real-time usage.
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