Image filtering by convolution

Image filtering is a common technique used in digital image processing that can be used to make a picture appear differently aesthetically. Noise, also known as distracting visual artifacts, can lower the overall quality of a picture, which is why image improvement techniques are required to fix the problem. It can be utilized in a variety of ways, including smoothing, sharpening, reducing noise, and detecting borders, to name a few. In this piece, we will be using convolutional techniques to correct the images that were messed up. The first thing that needs to be done is a point-by-point multiplication of the frequency domain representation of the picture that's being entered through a black image that has a small white rectangle in the mid of it. This is the first step. Only the lowest harmonics are kept after we apply a filter that gets rid of the higher ones. Because the high frequencies in the input picture are filtered out, the special domain of the image that is produced should look like a blurrier variation of the original picture. Therefore, a greater degree of detail preservation is indicated when the white rectangle W is larger because this indicates that more high-frequency components of I have been preserved

Steganography using AES and Edge Image

Steganography is the art of hiding messages in an image. This is a great way to send a secret message without drawing attention to it. Many technologies have been developed to ensure data security, and cryptography is considered one of the most important sciences used since the dawn of humanity. Using this proposed technique, we take the input text(128-bit) with key(128-bit), encrypt it using AES technology, and then hide out text(128-bit) inside the edges of the image free size. This is done by extracting the edges of the image and combining them with the ciphertext to make them disappear completely. Text data security is a good thing with this proposed new technology. It is also easy to extract text from the edges of the image and re-decode it. The resulting image is the same as the selected image, clear with raised edges, with text disappearing within the edges of the image indistinguishable from the naked eye. Therefore, this proposed method is considered the safest in hiding data inside the image