kandi X-RAY | steganography Summary
kandi X-RAY | steganography Summary
Android Steganography Library
Top functions reviewed by kandi - BETA
- Initializes this instance
- Create a bitmap with a specific size
- Helper method to encode the message
- Run the test
- Creates a new Steg with the given bitmap
- Sets the input bitmap
- Decode binary data
- Decode the bitmap to a byte array
- Convert bytes to long
- Decode a bitmap
- Decompress a byte array
- Compresses the given string using GZIP
- Override this method to handle the action bar selection
steganography Key Features
steganography Examples and Code Snippets
Trending Discussions on steganography
ANSWERAnswered 2022-Jan-04 at 08:20
I managed to fix it. The problem was that the pixels changed only when the forth value changed- the alpha channel. I suppose it is caused by gamma correction of the web browser.
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:...
ANSWERAnswered 2021-Aug-31 at 04:38
Try converting the image to any supported format before you pass it to
stepic.encode(). An example code would be:
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....
ANSWERAnswered 2021-Jun-01 at 13:05
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:...
ANSWERAnswered 2021-Apr-30 at 12:13
Your issue is that advanced indexing returns copies of arrays, so by doing
image[thresh==0][i][j] all the time you modify freshly created copies which are then discarded.
Let's start with some fake data
For a little lesson in steganography, I am appending an image to another image file like so:...
ANSWERAnswered 2021-Apr-29 at 09:52
Ok got it, this is how to show the hidden image:
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:...
ANSWERAnswered 2021-Feb-02 at 18:04
No. For reproducibility using
rand (which is not exactly specified and inherently uses global state) is terrible for multiple reasons:
you might use a different compiler/system, which may use a different RNG,
you might use the same compiler, but updated to a new version, which uses a different RNG,
you might use the same compiler, same version, but with an updated
libc, that uses a different RNG,
you use the same compiler and library version, but have any other non-deterministic call order of the RNG, including but not limited to:
a) some other source of randomness,
b) user input,
c) reordering of concurrency from run-to-run, or
d) any of the above in any of the libraries that you use.
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
watermark_images for insert the watermark.
This will randomly distribute the
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
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:...
ANSWERAnswered 2021-Jan-08 at 04:43
Carlos Melus have a good point.
Your code is not suitable for processing jpg images.
if you use png format, it will work out well.
I'm trying to make steganography with C++ using Magick++. Here is my code for now...
ANSWERAnswered 2020-Nov-28 at 12:09
You're probably encountering undefined behaviour as you're not using
getPixels correctly. Please see the documentation
I am hiding an image inside another image (Image Steganography) by using python 3.6.8 with opencv 18.104.22.168. 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....
ANSWERAnswered 2020-Nov-24 at 15:21
The contents of
const_byte_list are equivalent to those in
all_pixels_hidden_img, which are the secret image pixels in binary string form. Your error comes shortly after, with
ANSWERAnswered 2020-Nov-11 at 13:40
How about something like this:
No vulnerabilities reported
You can use steganography like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the steganography component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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