High quality digital images are very common due to easiness in imaging devices and inexpensive storage. However, they are easy to manipulate because of the availability of the powerful editing software and tools. Some software such as Photoshop, 3DS Max are so sophisticated that it is very hard to distinguish tampered images from their authentic counterparts. This raises questions regarding the authenticity of digital images, damages trust in visual media and creates unacceptable digital evidences for real life applications such as criminal investigation. An example of content tampering is shown in the figure below. You are asked to propose a CV algorithm to detect image tampering. Design a conceptual/block diagram, provide justifications for each step and the specific order and techniques...
I have two scripts of code on python in which first script uses RSA algorithm to encrypt and decrypte an image and the second script uses DNA coding to encrypte and decrypte the image The GUI must takes an image then encrypte it using the rsa encryption code , then encrypte it more with the DNA , shows the result image ,after that take the result and decrypte it with the DNA and lastly decrypte it with RSA and shows the result which must be the same original image after decryption The scripts are ready , just to creat the GUI and correctly assign the codes
I want a python code that takes an image and encrypte it using DNA coding algorithm XOR , then takes the encrypted image and do the opposite and obtain the original image
I need a node on the framework Robot Operating System (ROS) for the detection of holes and slopes for a cloud of input points that is being captured by a stereoscopic camera in real time, using the PCL library that already has methods for this type of application.
Program will display a screen that is the view through the phone camera. User will point the camera at an item and record an image Image will be remain displayed on screen User will then indicate a point in that image by touching the displayed image Program will determine the RGB value of that point, based on the center of the touched point and the average of the 25 local pixels (5 x 5) around the selected touch point. Program will use the RGB data in a 16K reference table to determine a result Table will be like this (Table will be provided as a text file.) Table will be part of the program (as constants). Red Green Blue Result 255 0 0 5.1 245 0 0 6.2 ... 0 255 0 12.4 0 245 0 13.7 ... 0 ...
Notes and help for signal, image and optical processing including - sampling and aliasing - spatial filtering - sinusoids - phase - FT theorems and properties - convolution and correlation - optical computing
Requirement is to build a program that allows a way to upload a list of image URLs to a program that will process the images through the Amazon Rekognition API and return all of the available data in a flat file format (like excel or SQL). Data that will be returned include: Image Properties > Dominant Colors, Image Quality Facial Analysis > appears to be female, appears to be smiling, etc Celebrity Recognition > list of celebrities found Text in image > export of text found in image The total amount of images to be scanned is < 500.