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Review on “A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count”

One of the biggest problems that we can encounter when scaling a picture that’s small to a big dimension is the fact that small scaled image are losing some important bits of information which cannot be recovered when scaled back. This problem though, can be fixed using multi-objective genetic algorithm. Researchers Kishor Datta Gupta and Sajib Sen are describing 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.

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