Image Filters, 3D images and sound- (Wide range of image filters using software tools/Create 3D images and Sound /Explore the data processing and cognitive contexts of the work)
Audio and Sound (Haas Effect)
The first step to this was to upload the file. Below is a picture of the original version.
Once I uploaded the file, I condensed it to 15 seconds and this is the most recent version below:
After this was done, I converted the time from 15 seconds into 15 milliseconds to see how this would impact the recording. I then analysed the differences.
There are several other comparisons between these images. For example, in the first image there is a full file (40 seconds) and in the second image the file is condensed (To 15 seconds). The 3rd image shows the results when the time is cut to 15 milliseconds. (Poirier-Quinot and Katz, 2022)
Change in audio using effects
Noise Reduction
3D Image
To produce this 3D image, I uploaded an image onto Photoshop and converted it to 3D. The process unfolded by launching adobe photoshop, then clicking on file and then opening the image which is saved
as a jpg file. The next step is to create a layer at the bottom right and then
select the layer to choose 3D feature, once you click the 3D feature you can
change colours etc. The image below is a type of project which has been converted into a 3D picture.
Audio or Image Synthesis
I have used a software audio synthesiser in order to create synthesised images using this specialist software. Below in this image, you can see there are 3 oscillators and 3 sliders. The oscillators and sliders are connected with each other, this allows you to adjust the sound. Furthermore by moving the slider up and down you can hear unique sounds.
I opened the synth application and produced sound that emitted a piece of music. I executed this by connecting my Arduino board to the computer using a USB, I dragged some functions to make sound come out of the computer. Below I have shown how I accomplished this.
Playing with Data- (Explore metadata/Create Glitch art/Use stenography/Wide range of media files in order to understand the structure and representation)
Using Winhip (Steganography)
Firstly, I had to obtain a random image onto the software
Then on the software, I clicked on the first option to the left which enables the opportunity to hide the file within a picture.
Once I opened the file, there is an option to choose what type of password I would like to enter, in order to hide the file within the image.
Once the password is set and the file is hiding in the image, it can then be saved.
I have added a file within an image, however I am uncertain if it worked. I have shown a step by step of how I have done it. I opened up the file and a set of disarrayed words came out.
Then I had an option to retrieve the file and convert the image back into the original
Afterwards, a pop up box came up where I had to enter the original password in order to restore the original image.
The type of steganography I have utilized was hiding a file within the image. I have shown in the above screenshots how I tested the software by concealing something within a picture. Steganography can be either fragile which only destroys the file if it has been modified or robust, which can easily destroy the file even if it has not been modified. I established that the file I used to hide in the image, was destroyed which is classed as Robust.
I believe that Steganography has some advantages and disadvantages, in terms of the software. There are different types of message hiding including Watermark, Fingerprint, Robust and Fragile. Employing Watermark can be extremely useful because you can distribute digital files online without any issues. Having fragile watermarks are important because if any files were tampered with the user will be able to notice.
Using WinMorph
For this software, you put two images together and a video is made. Firstly, you create a morph project.
Once you click that, a pop up image opens up and tells you which two images you wish to put in.
Then you open it up and confirm that you want those two images
Below is the video of how I have rendered 2 pictures:
Below is another example which shows similarities from each picture. As you can see there are 2 football pitches with shapes to show the similarities. Even though they are not the same pitch, there is a lot of similarities between the two images.
VCV Rack
Below within these 4 images explains, how I made the audio sound come out of my laptop. firstly, I had to change the audio drive to WASAPI which stands for Windows Audio System API. WASAPI enables the flow of audio data between the application and an audio output device.
Once setting the WASAPI, I then chose the Speaker/Headphone Audio to allow the output to come out of my laptop.
Subsequently, I chose the sample rate and block size, as having a higher block size will mean the latency is better, however the lower the block size, the likelihood of the sound glitching is higher.
Projection Mapping/Visual Jockey
I went onto Visual Jockey and produced a VJ presentation. Below shows how I have obtained a photo or used specific features to make a Visual Jockey Presentation. It was quite straightforward to use as all the features had names, which made it good to understand everything.
For this part, I had to render 2 images and put them as a video. In addition to this, I added audio to the video. You can view the video below the picture.
What settings were used for variables that tracked the sound?
Below in these two pictures you can see the variables that were available. I decided to select Texture X and Y movement speed.
Once I clicked on those two variables, I chose Bass which was good. There is a video below which shows how well the Bass was and the movement of the pictures.
Link for visual jockey:
https://youtu.be/VGkP_W8z8eI
The audio features that were used to generate some effects on the image were:
-3D effect
-2D effect
-Generic effect
These effects were important as you can make images look different and include many effects to produce a good visual jockey video.
Filter Forge
Within Filter forge, I have chosen 3 different images of a tiger, a group of people and a football stadium. Within each image, I changed it, for example, I used the Offset feature on one of them, I also used Offset and Rotate together on another image and on the third image, I used just rotate. This was good to observe because there were many differences such as colour. In addition to this, each image shows how the picture started and finished. (Ashbrook, 2022)
Below are the 3 images I have done for filter forge:
Image 1
Within the first image, I have incorporated a picture of a tiger and have used different features which can change colour. Below, you can see that I have used Offset which shifts the image horizontally or vertically. In addition to this, I have also included Rotate which rotated the tiger. Furthermore, I have included an Extract R, Extract G and Extract B which is then linked onto a feature called Source on the box Assemble RGB. Once that is done there is a final image of how much it has changed from the original picture.
Image 2
Within the second image, I have incorporated a picture of a group of people and have used different features which can change colour. Below, you can see that I have used a feature called Rotate which rotates the image. In addition to this, I have included an Extract R, Extract G and Extract B which is then linked onto a feature called Source on the box Assemble RGB. Once accomplished, I obtained a final image of how much the picture has changed from the original.
Image 3
Within the third image, I have incorporated a picture of a football stadium and have used different features which can change colour. Below, you can see that I have used just Rotate which rotates the image. In addition to this, I have included an Extract R, Extract G and Extract B which is then linked onto a feature called Source on the box Assemble RGB. Once that is done, you get a final image of how much the picture has changed from the original.
Custom Filter
Custom filter was utilized on photoshop to show 3 different images. I custom filtered them and I saved them on my files. Once I did that, I opened the 2nd image where on the right hand side was a feature called "3DLUT" which automatically custom filters the image and I also did the same for the 3rd image.
Below are 3 different images for custom filter:
Image 1
Within this image, I have shown a before and after picture. As you can see there is a grid added to the before and after images.
Before
After
Image 2
Within this image, I have shown a before and after picture. As you can see there is a grid added to the before and after images.
Before
After
Image 3
Within this image, I have shown a before and after picture. As you can see there is a grid added to the before and after images.
Before
After
What is pixel-processing?
Pixel processing is about how many pixels are within a specific image. Usually pixels are a 2-dimentional grid which is put into little squares and covers the whole image. Above are images with a grid feature put around the whole image. This shows how many squares are within the image, which is classed as pixel processing.(El Gamal, Yang and Fowler, 2022)
Terragen
For this software, I was able to make 3 different images and use different features to make some outstanding pictures.
Below are the 3 images I produced:
Image 1
For this image, you can see that I have used a terrain feature called Subdivide and Displace II. I made adjustments around this image and this was produced.
Image 2
For this 2nd image, I have added child layers to the work. Below you can see there are grey parts and orange parts. This shows that I have added child layers because there is more than one layer. In addition to this, I have changed the atmosphere to a unique colour of green.
Image 3
For the 3rd image, I have added some chilled layers, So for instance, you can see that there are white parts and grey parts to the image. In addition to this, I have changed the atmosphere to pink which is rare to see.
Interactive Independent Project - Develop a microcontroller based interactive project using multiple sensors, output will be sent to another device or computer which will form part of the interaction. This could be using I2C, MIDI, or data sent to processing
My project is based on MIDI notes connected to LED lights. Whilst analysing the project, I discovered that every time you click on a specific note, a specific LED light starts flashing. I have produced a video with the code and output to show how it works.
Below in this picture shows the wiring of the project. Evidently, I have used a MIDI in board, Arduino Uno Board, MIDI in cable, which you can see goes into the MIDI board. Moreover, I have utilized 8 LED lights and connected wires on the MIDI board. The wires go onto the numbers between 5 to 12.
Below is the video of the interactive individual project I have done:
https://youtu.be/FkNKgjQJn0k
REFERENCES
-Your Bibliography: Poirier-Quinot, D. and Katz, B., 2022. The Anaglyph Binaural Audio Engine. [online] Aes.org. Available at: <https://www.aes.org/e-lib/browse.cfm?elib=19544> [Accessed 9 April 2022].
-Your Bibliography: Ashbrook, B., 2022. Filter Forge 7.0. [online] Go.gale.com. Available at: <https://go.gale.com/ps/i.do?id=GALE%7CA633620211&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=00308277&p=AONE&sw=w&userGroupName=anon%7E86839e0a> [Accessed 10 April 2022].
-Your Bibliography: El Gamal, A., Yang, D. and Fowler, B., 2022. <title>Pixel-level processing: why, what, and how?</title>.
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