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The reconstructed images degrade very smoothly.
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A simple technique for the restoration of color images degraded by lossy compression is presented.
Simulated test images degraded by various levels of Poisson quantum noise and real clinical fluoroscopic images were considered.
To deal with the problem of restoring images degraded with Gaussian white noise, the mean and adaptive Wiener filters are the most common methods to be implemented.
These include the restoration of images degraded by noise and blur, image segmentation with active contours (snakes), and reconstruction of surfaces from unorganized data points.
Then, we show some experimental results on the images degraded by various pseudo noise and the images with real noise.
Another quality method based on gradient statistics of JPEG and JPEG2000 images, degraded by blockiness and blur, is presented in[89].
However, the proposed scheme is meant only for images degraded by blur and it has been tested on LIVE[14] data set JPEG2000 encoded images.
First, we test our algorithm using a set of still images degraded by deleting a percentage of the image blocks of size 16 × 16 pixels.
The first group includes Lena, bridge, and baboon images degraded by the same noisy clusters shown in the corrupted Lena image in Figure 1.
In particular, we have used two 250 × 250 sized images degraded by uniform and Gaussian blurs of 7 × 7 as depicted in Figure 11a, d, respectively.
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