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The image is convoluted with the Laplace-Kernel and the borders of the image are deleted.
We found an increased blurring at the borders of the image, suggesting lens artifacts.
The noisy area at the borders of the image is called the background area.
At the borders of the image, where the neighbors do not exist, we set the values of pixels as zeros.
Consequently, the depth noise variance is higher at the borders of the image, as shown in Figure 1. Figure 1 Noise in depth images is highly spatially variable.
The foreground is the component that originated from the contact of a fingertip with the sensor, and the noisy area usually around the borders of the image is called the background.
Similar(46)
Detail coefficients belong to the edges and borders of the images, where the frequency is high and embedding of the watermark in these locations is robust against human visual system.
This is clearly visible in Figure 13, especially at the borders of the images, where other methods fail to remove the noise of higher intensity, while the proposed method removes noise in these regions quite successfully.
For the pixels close to the borders of the images, a smaller window size was used to minimize artifacts.
On the other hand, the possibility of occlusion with the border of the image just depends on the proximity of a moving object to the border of the image.
This transformation applies a displacement which is zero at the border of the image and maximum in the center.
More suggestions(19)
boundaries of the image
limits of the image
areas of the image
sides of the image
lines of the image
borders of the images
boundary of the image
borders of the sucker
borders of the band
borders of the village
borders of the lesion
borders of the wallet
borders of the defect
borders of the implant
borders of the chemical
borders of the frame
borders of the screen
borders of the cell
borders of the ulcer
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