Update README.md

README.md

@@ -1,6 +1,6 @@
-## Forensic
+# Forensic
 
-Forensic is an image processing library which aims to detect copy-move forgeries in digital images. It's implementation is mainly based on this paper: https://arxiv.org/pdf/1308.5661.pdf
+Forensic is an image processing library which aims to detect copy-move forgeries in digital images. The implementation is mainly based on this paper: https://arxiv.org/pdf/1308.5661.pdf
 
 ### Implementation details
 
@@ -13,3 +13,67 @@ Forensic is an image processing library which aims to detect copy-move forgeries
 * Search for similar pairs of blocks. Because identical blocks are most probably neighbors, after ordering them in lexicographic order we need to apply a specific threshold to filter out the false positive detections. If the distance between two neighboring blocks is smaller than a predefined threshold the blocks are considered as a pair of candidate for the forgery.
 * For each pair of candidate compute the cumulative number of shift vectors (how many times the same block is detected). If that number is greater than a predefined threshold the corresponding regions are considered forged.
 
+## Install
+First install Go if you haven't installed already, set your `GOPATH`, and make sure `$GOPATH/bin` is on your `PATH`.
+
+```bash
+$ export GOPATH="$HOME/go"
+$ export PATH="$PATH:$GOPATH/bin"
+```
+Next download the project and build the binary file.
+
+```bash
+$ go get -u -f github.com/esimov/forensic
+$ go install
+```
+
+In case you do not want to build the binary file yourself you can obtain the prebuilt one from the [releases](https://github.com/esimov/forensic/releases) folder.
+
+## Usage
+
+```bash
+$ forensic -in input.jpg -out output.jpg
+```
+
+### Supported commands:
+```bash 
+$ forensic --help
+  __                          _
+ / _| ___  _ __ ___ _ __  ___(_) ___
+| |_ / _ \| '__/ _ \ '_ \/ __| |/ __|
+|  _| (_) | | |  __/ | | \__ \ | (__
+|_|  \___/|_|  \___|_| |_|___/_|\___|
+
+Image forgery detection library.
+    Version: 
+
+  -blur int
+    	Blur radius (default 1)
+  -bs int
+    	Block size (default 4)
+  -dt float
+    	Distance threshold (default 0.4)
+  -ft float
+    	Forgery threshold (default 210)
+  -in string
+    	Source
+  -ot int
+    	Offset threshold (default 72)
+  -out string
+    	Destination
+```
+
+## Results
+| Original | Forged | Result |
+| --- | --- | --- |
+| ![dogs_original](https://user-images.githubusercontent.com/883386/39047347-3fee70cc-44a2-11e8-8729-c4312c631017.jpg) | ![dogs_forged](https://user-images.githubusercontent.com/883386/39047218-c1c8c530-44a1-11e8-8eb6-f9a8470848bd.jpg) | ![dogs_result](https://user-images.githubusercontent.com/883386/39047481-aec6f0f0-44a2-11e8-9f0f-041b9f2a0eb4.png) |
+| ![parade](https://user-images.githubusercontent.com/883386/39047612-2db85eee-44a3-11e8-88d1-b64b8c017180.jpg) | ![parade_forged](https://user-images.githubusercontent.com/883386/39047619-32217e20-44a3-11e8-9eea-7d69e775388a.jpg) | ![parade_result](https://user-images.githubusercontent.com/883386/39047625-38003c46-44a3-11e8-9c77-b3bac8489686.png)
+
+### Notice
+The library sometimes produce false positive detection, depending on the image content. For this reason i advice to adjust the settings. Also sometimes the human judgement is required, but in the most cases the library do a pretty good job in detecting forged images. The more intensive the overlayed color is, the more certain is that the image is tampered.
+
+## License
+
+Copyright © 2018 Endre Simo
+
+This project is under the MIT License. See the LICENSE file for the full license text.