Wine & Cheese visited again

A while back we talked about the jpeg artifacts in an image give to me by my good friend Justin Lau. Apparently, my solution did not please him very much. So, I am revisiting the poster again. Here is the output I got with my new algorithm. I will revisit the algorithm again as I know Justin's objections in advance.

The code that generated the following output is up for auction. (Minimum bid is $2500)

Meanwhile, I will keep thinking about how to approach the quality of the poster obtained in pdf format.

Output of my new algorithm that corrects jpeg artifacts

Compare the above result to the original image below ...

The original image with severe jpeg artifacts.

A new fast denoising algorithm for auction

Here is a novel denoising algorithm. It denoises a 256x256 color image in 2.17 seconds, grayscale in 0.58 seconds (should this be plural or singular?) in Matlab.

I will give the code with explanation to the highest bidder. Minimum bid $1000 USD.

Noisy image

Denoised image

Details of the noisy image

Details of denoised image:
Notice the texture of the wig is almost perfectly maintained.