DSP implementation of wavelet image enhancement

Wenruo Bai; Baofeng Zhang; Qianqian Bai

doi:10.1117/12.754147

29 November 2007 DSP implementation of wavelet image enhancement

Wenruo Bai, Baofeng Zhang, Qianqian Bai

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 68331L (2007) https://doi.org/10.1117/12.754147
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

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.

Citation Download Citation

Wenruo Bai, Baofeng Zhang, and Qianqian Bai "DSP implementation of wavelet image enhancement", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68331L (29 November 2007); https://doi.org/10.1117/12.754147

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