Hi all, How about implementing Wavelet based techniques? Like Image Processing using Wavelet Transform. Decompose the image into wavelet domain Alter the wavelet coefficients as per the application such as denoising, compression, edge enhancement, etc. Reconstruct the image with the altered wavelet coefficients. I am looking forward to contribute.Will this help scikit-image? Suggestions needed. On Thursday, February 6, 2014 6:18:15 AM UTC+5:30, Juan Nunez-Iglesias wrote:

I'd be interested in mentoring, actually. But I only have vague ideas about what contributions we're looking for. As Josh said, compression itself would be more interesting to the scikit as a means to other ends, such as denoising.

Fixing up the watershed would be useful! ;)

On Thu, Feb 6, 2014 at 5:39 AM, MIT SHAH <mitk...@gmail.com <javascript:>>wrote:

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Mentoring Organizations can submit applications from 3rd feb to 14th feb. Student Application period is from 10th to 21st march. And yes, I am very much interested in working with scikit-image this summer. Actually, I came to know about scikit image from my senior Chintak Sheth, who worked with you last time. Since last 8-9 months I am learning and working on Image Processing. So, it will be my pleasure if I get a chance to work with scikit-image & contribute my best.

On Sunday, February 2, 2014 2:32:30 PM UTC+5:30, MIT SHAH wrote:

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Hi, I am working on Image Compression Algorithms. I want to contribute it in scikit-image. Can I contribute it ? I am asking this, because I didn't find Image Compression as Requested features on the following link : https://github.com/scikit- image/scikit-image/wiki/Requested-features Please guide me.

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