Compressive Sensing Algorithms for Medical Imaging
Budget: $30 – $250 USD
I require a few compressive sensing algorithms programmed in MATLAB. These algorithms should be capable of reconstructing both MR and X-ray images with approximately 50% of pixels missing. The reconstructed images should achieve a Peak Signal-to-Noise Ratio (PSNR) of over 30 dB.
Key Requirements:
- Ability to work with both MR and X-ray images
- JPEG formatted input images
- MATLAB programming
Ideal Skills:
- Expertise in developing compressive sensing algorithms
- Experience with medical image reconstruction
- Proficiency in MATLAB
Your task will be to ensure that the algorithms can reconstruct these images effectively, taking into account the specific requirements of the input image format and the necessary PSNR.
Key Requirements:
- Ability to work with both MR and X-ray images
- JPEG formatted input images
- MATLAB programming
Ideal Skills:
- Expertise in developing compressive sensing algorithms
- Experience with medical image reconstruction
- Proficiency in MATLAB
Your task will be to ensure that the algorithms can reconstruct these images effectively, taking into account the specific requirements of the input image format and the necessary PSNR.