Image Enhancer®   

Front Interface of Image Enhancer Release Candidate                                       Front interface for Image Enhancer 1.0.0 Release Candidate 


Image Enhancer is a desktop application based on Image Processing concepts. A set of total 64 basic and complex Image Processing filters are implemented here. Moreover snapshots can be captured using video surveillance camera/webcam attached with the computer.

It enables the end users to modify their pictures in several ways by offering numerous filters and effects through a rich GUI which can be utilized in multiple ways, as per the requirements of the end users. This software was developed using Microsoft Dot Net Framework 4.0 and Visual C#. Currently running version is 1.0. This project uses AForge.NET Framework ( for computer vision and image processing. 

 Main Features

  1. A sum total of 64 simple and complex image processing filters are incorporated with full parameter customization. More stunning filters to be added soon.
  2. Supports JPG JPEG, BMP, PNG, TIFF, TIF, EMF, EXIF, GIF, WMF and DCM formats in Release Candidate version. More imaging formats to be included in the upcoming versions.
  3. Video Buffering is possible with the use of any USB or Surveillance Camera.
  4. Snapshots of the video can be taken from Video Buffering.

 Download(Beta and Release Candidate)

It is more recommended that you directly download the latest source codes from the Source Codes page. This source code may be of good use to researchers/developers who are trying to establish an image processing workflow. There are also two stable releases [beta and Release Candidate(RC)] available at the Downloads page.

 I) Softpedia Download Link 

II) fileforum Download Link

III) CNET( Download Link  

IV) Freewarefiles Download Link

V)  SOFTANGO Download Link

VI) ZDNet Download Link 

VII) WinSite Download Link

VIII)File Guru Download Link  fileguru download

 International Recognition

I have participated in the Open Source Software(OSS) World Challenge 2014 organized by National IT Promotion Agency, Ministry of Science, ICT and Future Planning, Government of South Korea. This event took place in Seoul.

Image Enhancer was recognized for it's good impact and sincere contribution to the open source community.OSS WOrld Challenge 2014

 Cite Image Enhancer

If you are reusing this code/software for further development/other purposes or using this software for R&D/ your own publication/research, you are requested to cite Image Enhancer repository in your related publication/technical report/thesis.  

While citing, write the DOI of Image Enhancer 1.0 RC to the 'References' section of your publication, given below.  

 Hazra, A 2014. Image Enhancer: A Graphic Editor to Apply Numerous Effects in Digital Image. Journal of Open Research Software 2(1):e31, DOI:

Futuristic Approach

At the present moment I am trying to enhance this software to include some more filters along with added functionality which are not present in AForge.NET framework. Apart from that, giving support to more imaging formats is another burning issue which needs to taken care of. For this reason this project may change rapidly. Almost all the parameters of the image processing filters are customized in RC version at present.  Please keep visit the  Image Enhancer Page for continuous updates.

 Contact Me

The support mechanism for Image Enhancer is through developer e-mail and discussion threads of this website. If you want to know more about this project / contribute to this project with me or seek any support for Image Enhancer, please contact me in my mail abhisek.hazra[AT]hotmail[DOT]com. Contact me here also for licensing issues and reusing the software or code. The Discussion Thread is also open for your positive response, experiences and important feedback.

I will be more than glad to receive your valuable feedback and constructive opinions. 

My LinkedIn Profile

 Social Media, Review and News

Catch the official Facebook page for Image Enhancer. Please follow the posts and make your valuable suggestions, feedback.

A detailed review on IE 1.0.0 Beta has been written earlier by Mr. Shine Jaykumar on 'ilovefreesoftware', a very popular tech website. They have reviewed IE 1.0.0 Beta with a five star reward.  The review can be read HERE.

Another review on newly developed Image Enhancer 1.0.0  Release Candidate(RC) has been written in 'ABloggr' which is a growing blogdealing with various tech problems. READ THE REVIEW HERE Badge           

Badge from           

FILEDIR has hosted Image Enhancer 1.0.0 Beta to their download repository and a free download link has been provided to all the end users. The following is the badge given to IE 1.0 by FILEDIR.            



Image Enhancer 1.0.0 has also been enlisted with SOFTPEDIA, one of the largest software archives of the world. IE 1.0.0 has been tested in SOFTPEDIA lab and found to be 100% free (no spyware,ad-ware etc.) and clean from viruses and trojans. The following image is the Softpedia award logo given to IE 1.0.0 RC (earlier with beta version).   

Softpedia Badges

Softpedia Badge            Softpedia new has also hosted IE 1.0.0 Beta and a free download link has been provided. IE 1.0.0 Beta 100% clean(no viruses, no spyware, no ad-ware) award was declared and a certificate badge was issued by

FreewareFiles Badge

Freewarefiles Badge

 Softango has also hosted Image Enhancer 1.0 Beta with highest number of download counts and a certificate badge has also been issued by them.

SoftTango Badge


   Screen Shots of Image Enhancer         


                                      Binarized 8 bit O/P Image at threshold level 64


                                           Binarized 8 bit O/P Image at threshold level 128


                                        Binarized 8 bit O/P Image at threshold level 192

 Inverted Image

                                                       Inverted O/P Image(Image Negative)

 Input Image for Water wave

                                                                       I/P 8 bit RGB Image

Waterwave Filter

      Application of Water-wave filter with 25 vertical and horizontal waves and 25 frequency count

Input Image

                                                                   I/P 8 bit RGB Image 

Input Image

                                    Application of RGB channel rotation on the above image

Low saturated image

                                                                  Low saturated RGB image

high saturated

                                                     Saturation corrected for the above RGB image

 canny input

                                                  RGB image for Edge Detection

canny high

                                                  Canny edge detection with 0.5 Gaussian Sigma Value


To see a detailed list of imaging filters and their effect visit Result Data Set link. I appreciate your valuable feedback and suggestion. Please stay tuned with further updates and news.


© Abhisek Hazra, July-2014                                                                                   All Rights Reserved










Last edited Sep 10, 2015 at 7:22 AM by teetan, version 149