Steganography | Steganography algorithms implemented in C with OpenCV | Computer Vision library

I'm fairly new to python, and I'm trying out Steganography. I'm using the libraries Stepic and Image to try to encrypt user input messages onto any image. My script will do just fine until the very last step, the encryption onto the image. My error is, "ValueError: Unsupported pixel format: image must be RGB, RGBA, or CMYK" I can't think of anything to try so I've come here. Here is my code:

Can AWS S3 detect uploads of malicious .exe files?

What if we have an app that has an upload file function and files are uploaded to s3. What if attacker renames .exe file to .jpg file or insert a hidden file inside an image file (Steganography).

Is S3 capable of detecting this? or can this be done via bucket policy? if not, whats the solution you can recommend.

I am currently working on a design of steganography system that detects a certain area in an image using several techniques (K-means, Canny edge detection) using Python and OpenCV library. I am facing a huge problem updating the image pixel values to contain my secret data in the least significant bit.

I started with finding the threshold after several calculations.

thresh = cv.adaptiveThreshold(imgray,100,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY_INV,11,2)

And to test the area I did the following:

For a little lesson in steganography, I am appending an image to another image file like so:

I am trying to implement a set of encode and decode steganography functions in C, where i use rand() to randomly scatter my data along an array.

I use rand to calculate a random index like so:

I have a steganography code that hiding image inside another image.

I inject a watermark into the my image through this code.

The principle is very simple.

I used the source_image and watermark_images for insert the watermark.

This will randomly distribute the watermark_images.

First, scatter x and y of the watermark image using random seeds.

And then, convert source_image to frequency area using Fast Fourier Transform.

Finally, combine the watermark_layer with the frequency area of the source_image.

This encoding process works perfectly well. However, there is a problem in the process of decoding.

Decoding code is collects pixels scattered by random seeds in one place on the same principle.

This is Result of decoing:

this problem, if i try to encoded image to save(cv2.imwrite) and recalled(cv2.imread), the decoding doesn't work.

If I use the encoded object as it is, there is no problem. Is the pixel damaged during the saving and recall process?

this is my full code:

I'm trying to make steganography with C++ using Magick++. Here is my code for now

I am hiding an image inside another image (Image Steganography) by using python 3.6.8 with opencv 4.4.0.44. I am on windows 10 machine.

The algorithm I am using is as follows: I have defined a mask with zeros at the last two lowest significant bits. Then I use this mask and "bitwise and" it to make the last two bits of every pixel in the base image to zero. There are two images, one is base image which accommodates the second image (hidden image). I have made sure the size of the hidden image is at most 1/4 of the base image. I have also changed both images in gray-scale to deal with only one channel.

I have successfully embedded the image as well as extracting it, but the extracted image is very noisy, which is surprising for me as the content of the image has not changed.

How do I calculate the total number of pixel of an image before uploading it to the server? I'm using steganography with PHP and sometimes the number of pixel of a selected image isn't enough to contain the message to hide. I'm looking for a way in javascript or PHP to know the number of pixels in an image to avoid problems when image is processed.