Edge Enhancement Based on Wavelet Transform In Indoor Digital Images

Digital image processing is rapidly evolving field with growing application in science and engineering. Edge enhancement plays a vital role in Digital image processing.Here proposed a novel technique for automatic edge enhancement in indoor digital images.A robust and unsupervised edge enhancement algorithm based on a combination of wavelet coefficients at different scales is applied. An example of the operation on simulated images can be first considered. The images are denoised and performed filtering using sobel filter. The result obtained after edge enhancement using wavelet transform is one pixel wide. Moreover, the correct performance of the method is also observed despite the diversity of scenarios.By extending the proposed method to harware, can be applied in Robotics. The method can also be used for assisting physically challenged and impaired people.

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She completed M.E., Degree in Computer Science and Engineering, Muthayammal Engineering College,Rasipuram affiliated to Anna University. She has received B.tech., in Information technology, Sun college of engineering and Technology, Nagercoil affiliated to Anna University.Comleted MBA(HR)under IGNOU. Her area of expertise is image processing.