Preparing a multi scale CNN model using MATLAB | Algorithm | Image Processing | MATLAB | Deep Learning

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I am looking for a developer/programmer with experiences in multi-scale CNN. The job is as follows:

A multi-scale CNN model is required using MATLAB (MATLAB is recommended) or python with following specifications.

I. It will take an image/image block and condition parameter(s) as input. Condition parameter causes change in optimization parameters.

II. It will provide optimization parameter(s) as output. Optimization parameter determines image processing on input image.

III. Based on the optimization parameters, image processing will be performed to get output image.

Training the model:

During training process, the output image after image processing based on optimization parameter needs to be checked with reference image by using SSIM/MS-SSIM/MOS or any other means. The training process will continue to optimize the network toward achieving SSIM/MS-SSIM/MOS = 1.

The project can be used for the following case as an example, the image block size is 16 X 16 and if the reference image block is brighter than input image block, the optimization parameter from the network will be a=2, and the y=2x image processing will be performed.

Support files:

Multi scale CNN model using MALTAB and reference papers: [login to view URL]

The model in the above mentioned link can be customized for the required specification or other model can be used and customized to meet up the requirement.

Required files:

1. Datasheet explaining the model and guidelines for using it,

2. Multi scale CNN model

The details about it can be found in the attached file.

Skills: Algorithm, Image Processing, MATLAB, Deep Learning

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Uijeongbu-si, Korea, Republic of

Project ID: #27619384

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