<p>PSNR values for pattern type and positioning. Each pattern in the figure was reconstructed using its own filters generated by either the ICA or FEBAM models, and the quality of this new image was compared to the original image. Results are based on 300 simulations. Error bars show 95% confidence interval. The test patterns in the figure were used in a behavioural experiment elsewhere.</p
<p>Depicted is the mean Dice coefficient that was reached by each of the five standard segmentation ...
The analysis of visual motion against dense background clutter is a challenging problem. Uncertainty...
Continuous growth of multiple-point simulation algorithms for modeling environmental variables neces...
<p>First, original experimental images are loaded (a), then converted to grayscale (b), and sliced i...
<p>Results are based on the three patterns reconstructed in best quality (i.e., left-most patterns f...
<p>Error bars show 95% confidence interval. The patterns labelled “HS1” and “HA1” were selected for ...
<p>Error bars show 95% confidence intervals. The figure shows test patterns in their original form, ...
<p>PSNRs at each frame of the activity images reconstructed by different algorithms.</p
<p>Each pattern is a digitalized image with pixels, each with 8 bits of depth. The binary strings d...
<p>PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9%...
<p>(a), (e) The original image with red initial contours. (b), (f) The final segmentation results of...
<p>(A) Examples of training data for efficient coding. Whitened images were obtained by flattening a...
<p>(A, B), The performance achieved across different number of training images. (C), The performance...
<p><b>A.</b> A set of 64 pixel natural image patches, . <b>B.</b> The coefficients of the first two...
The group of red solid lines represents the performance of models trained on the augmented training ...
<p>Depicted is the mean Dice coefficient that was reached by each of the five standard segmentation ...
The analysis of visual motion against dense background clutter is a challenging problem. Uncertainty...
Continuous growth of multiple-point simulation algorithms for modeling environmental variables neces...
<p>First, original experimental images are loaded (a), then converted to grayscale (b), and sliced i...
<p>Results are based on the three patterns reconstructed in best quality (i.e., left-most patterns f...
<p>Error bars show 95% confidence interval. The patterns labelled “HS1” and “HA1” were selected for ...
<p>Error bars show 95% confidence intervals. The figure shows test patterns in their original form, ...
<p>PSNRs at each frame of the activity images reconstructed by different algorithms.</p
<p>Each pattern is a digitalized image with pixels, each with 8 bits of depth. The binary strings d...
<p>PSNR comparison of RNLM and RNLM-CPP algorithms under varying noise levels (ranging from 1% to 9%...
<p>(a), (e) The original image with red initial contours. (b), (f) The final segmentation results of...
<p>(A) Examples of training data for efficient coding. Whitened images were obtained by flattening a...
<p>(A, B), The performance achieved across different number of training images. (C), The performance...
<p><b>A.</b> A set of 64 pixel natural image patches, . <b>B.</b> The coefficients of the first two...
The group of red solid lines represents the performance of models trained on the augmented training ...
<p>Depicted is the mean Dice coefficient that was reached by each of the five standard segmentation ...
The analysis of visual motion against dense background clutter is a challenging problem. Uncertainty...
Continuous growth of multiple-point simulation algorithms for modeling environmental variables neces...