To better protect our planet and meet the challenges of climate change, greater emphasis in all sciences must be placed on applying data science and image processing technologies to improve methods that predict disasters and enhance the means of dealing with them. As a result, clearing up images allows us to keep an eye on the weather in areas like farms, coastlines, and highways in order to better adapt to climate change and other environmental challenges. When bad weather strikes, like fog, haze, or a combination of the two, it degrades the quality of any images captured. The imaging technology we have now is not good enough to stop the rapid loss of visibility caused by bad weather. For this reason, a dehazing and security model is proposed that is both effective and efficient. Using multiple gamma-corrected images, this model achieves optimal multi-exposure image fusion. To get the best gamma values for improving image quality, the dehazing model is combined with particle swarm optimization. The proposed model's strength lies in its ability to analyze both local and global image features to generate optimally enhanced images. Then, the least significant bit (LSB) steganography techniqueis implemented to secretly insert data into a cover file. LSB values must be altered to conceal the message inside the cover art or text (which is the carrier). The secret message is disassembled and concealed in the final part of the cover image and text so that the attackers cannot find it. The initial three bits of the message are embedded within the concluding three bits of the red component, followed by the subsequent three bits of the message within the final three bits of the green component. The last two bits of the blue component are then employed to carry the remaining two bits of the message. Just two bits in the blue component were employed due to the increased visibility of blue fluctuations to the human eye.
El-Hoseny, HM; Farahat, MA; El-Hag, NA
An efficient Stego-OptDehaz algorithm for image dehazing and metadata concealment
Journal Of Optics-India