Small scaled image lost some important bits of information which cannot be recovered when scaled back. Using multi-objective genetic algorithm, we can recover these lost bits. In this paper, we described a genetic algorithm approach to recover lost bits while image resized to the smaller version using the original image data bit counts which are stored while the image is scaled. This method is very scalable to apply in a distributed system. Also, the same method can be applied to recover error bits in any types of data blocks. In this paper, we showed proof of concept by providing the implementation and results.https://www.edusoft.ro/brain/index.php/brain/article/view/805/91
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
There are several techniques which are normally divided into two categories lossy and lossless image...
A genetic algorithm is presented for the deconvolution problem of image restoration. The restoration...
<p>Small scaled image lost some important bits of information which cannot be recovered when<br> sca...
Small scaled image lost some important bits of information which cannot be recovered when scaled bac...
Our proposal is to store each column and row bits count in a separate file and used that to reproduc...
As in figure 7 we are storing the extra data which is look like figure 8. Where a 20*20 size image o...
<p>Our method will first resize the image using normal image resizing option provided by operating s...
<p>As in figure 7 we are storing the extra data which is look like figure 8. Where a 20*20 size imag...
<p>In Figure 15 we were able to generate the symbol H without any help from a small image we used on...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
<p>For some images there is a chance to get stuck where fitness function maxed, but we are not near ...
<p>In 2008, Roger Johansson was able to regenerate a Mona Lisa image from random sampling (Roger Joh...
<p>As we can see, here we were able to recover the lost middle portion of character ‘A’ using our ge...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
There are several techniques which are normally divided into two categories lossy and lossless image...
A genetic algorithm is presented for the deconvolution problem of image restoration. The restoration...
<p>Small scaled image lost some important bits of information which cannot be recovered when<br> sca...
Small scaled image lost some important bits of information which cannot be recovered when scaled bac...
Our proposal is to store each column and row bits count in a separate file and used that to reproduc...
As in figure 7 we are storing the extra data which is look like figure 8. Where a 20*20 size image o...
<p>Our method will first resize the image using normal image resizing option provided by operating s...
<p>As in figure 7 we are storing the extra data which is look like figure 8. Where a 20*20 size imag...
<p>In Figure 15 we were able to generate the symbol H without any help from a small image we used on...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
<p>For some images there is a chance to get stuck where fitness function maxed, but we are not near ...
<p>In 2008, Roger Johansson was able to regenerate a Mona Lisa image from random sampling (Roger Joh...
<p>As we can see, here we were able to recover the lost middle portion of character ‘A’ using our ge...
<p>In figure 11 it is the initial population showed and figure 12 the population started to change a...
There are several techniques which are normally divided into two categories lossy and lossless image...
A genetic algorithm is presented for the deconvolution problem of image restoration. The restoration...