NTU Flaghsip Keynote (Digital Image Processing)
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NTU Flaghsip Keynote (Digital Image Processing)



This is the NTU Flagship Keynote on Digital Image Processing. Done by Siddhant Chaurasia from Singapore. Give it a like and enjoy! ...

This is the NTU Flagship Keynote on Digital Image Processing. Done by Siddhant Chaurasia from Singapore. Give it a like and enjoy!

Note: There is a video in this presentation. Please refer to the YouTube Link to watch this video.



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    NTU Flaghsip Keynote (Digital Image Processing) NTU Flaghsip Keynote (Digital Image Processing) Presentation Transcript

    • Digital Image ProcessingTechniques and ApplicationsProject 7 Group 2Thursday, June 6, 13Greet By Saying Good Morning to everyone and tell them that it is a great pleasure to be herepresenting to them. Then tell them that what is your project and what group you are in
    • Group MembersSiddhant Chaurasia- Group Leader and Blog ManagerRyan Goh- Note TakerJustyn Lim- Photo and Video TakerCheston Chee- Time KeeperThursday, June 6, 13Introduce them to the Group Members.
    • Digital Image ProcessingDigital Image Processing is theuse of computer algorithms tocreate, process, communicate, anddisplay digital images.Thursday, June 6, 13Tell them what Digital Image Processing is and at the end of defining the definition tell them that it isbasically using the technology of computers to display digital images
    • ResearchThursday, June 6, 13Now moving on to the hard work we put in our work and research.
    • Thursday, June 6, 13So the application we used for our research is MatLab
    • VideoThursday, June 6, 13Now to show you more in detail of our research, it is my pleasure in showing you a video that we havedone.
    • Thursday, June 6, 13Watch Here: http://www.youtube.com/watch?v=qW-M7vKHrZo
    • Thursday, June 6, 13Now let me show you a few key points in our research. So when we first launched up our programmethis is how it looked like. So as you can see there are a lot of codes here as shown. And this is just the
    • Thursday, June 6, 13So all those codes that you have just seen in the previous slide all turn in to these pictures here. SoLena RGB is Lena Red Green Blue in it’s full form. So Red, Green and Blue are a Colour Space.
    • Thursday, June 6, 13Now after viewing the pictures we now see more detailed information about the picture. Thisinformation shown here is showing us more detailed information about the picture such as the Width
    • Thursday, June 6, 13This is the MATLAB DCT Coefficients and Block Pixels. So from this we learned that you can compressthe image. By compressing the image, the image quality gets degraded. Also here you can see the
    • Thursday, June 6, 13Lastly, we did Image Denoising. Image Denoising is a technique to remove the noise present inimages. An example of noisy and one that isn’t is shown above. You should easily be able to compare
    • Spatial RedundancyPsychovisual RedundancyThursday, June 6, 13An Image Can Be Compressed because of two redundancies know as Spatial Redundancy has to dowith a certain redundancy in the binary code of the image.
    • One More ThingThursday, June 6, 13One More Thing, before ending our presentation is
    • During the ProjectPixels and ResolutionBit Depth/Colour DepthColour ImagesRGBImage DenoisingEdge DetectionThursday, June 6, 13What we have learnt from this project. After going through this project we have learnt things such asPixels and Resolution, Bit Depth and Colour Depth which is Number of Bits for each pixel. We have