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Photogenic or not, we’ve all probably had our very own episodes of photobombs. Ever heard of photobombs? The could be those tiny little minions appearing “unwanted” in that special high school picture. The could also be those very beautiful but ‘unwanted’ chics appearing in your selfie. You could be a victim or you could be the culprit, what’s important is that someone’s photo got photo bombed. This can sometimes be very annoying if you had high hopes or use for them. Unfortunately photo bombing is technically not a crime under any known national or International laws. So, unless you caught your photo bomber planning the next 9/11 he/she isn’t going to jail anytime soon. With so much lawlessness in photography, search giant Google Inc. in colaboration withe Massachusetts Institute of Technology (MIT) got you covered;

It can remove faces of photobombers that might ruin a prized moment
The one-click system can also remove litter,signs and passing cars

photo bomb
Actor Jared Leto photobombing Oscar winning producer James Skotchdopole
Image credit: mirror. Co.UK

Photobombing has been known to get global exposure, mainly due to the bandwidth and ease of dissemination afforded by the Internet, and the abundance of snapshots by smartphone cameras and other hand-held devices . A number of websites include sections on them, or are entirely devoted to photobombs. In 2014, “photobomb” was named Word of the Year by Collins English Dictionary

Popularly noted ones include Bill Clinton photobombing Kelly Clarkson during her performance of “My Country ‘Tis of Thee ” at Obama’s second inauguration in 2013. A few weeks later Clarkson herself photobombed Ellen DeGeneres and Portia
Developers who have been working with software firm Adobe, said their prototype can detect cars in a digital image and automatically remove them if they appear to be entering the frame. Ohad Fried, a graduate student in computer science at Princeton University who has been leading the project, said it can also detect unwanted faces that appear out of place in the rest of the image.

Before and After of a photo bombed image. The photo bombs in both pictures were removed effortlessly using the Adobe Software.
Credit: mirror.co.UK

The software was trained to identify features in photographs that are distracting and unwanted so it can remove them, like the labels in the top image and the sign in the bottom image.It can also remove dust and raindrops that can also ruin images taken through glass while also removing distraction, blurry fences from pictures. The programme was created by identifying distracting elements in more than 1,073 images. They also used 5,000 images from an experimental Adobe app , Fixel for th Apple iPhone , which allows photographers to fix image ‘issues’ before uploading the images. This allowed the software to learn by comparing the before and after pictures to see which elements the photographers had removed. They used these to train the software to spot unwanted features in photographs. Due to the fact that Specific arrangements of colours and shapes
were found to be most associated with certain distracting elements or background noise ( whatever you call it these days). This allowed the software to identify and eliminate these “background noise”. The researchers hope their software, which they presented at the 2015 Computer Vision and Pattern Recognition Conference in Boston, could help people using social networking sites upload better quality images.The software could prove particularly useful for those wanting to take pictures through windows of the view from the top of tall buildings or popular attractions,through fences at zoos or from the top of the Eiffel tower could also be stripped of the unsightly blurred wire that often ruins treasured photographs.

The software can identify faces that may appear out of place in the image and can
remove them automatically from the picture. However, when large areas are obscured, like in the photobomb above, it may be difficult to save some pictures.