100% of the image is restored using a reduced version containing between 1% and 10% of the information from the original
In his PhD thesis, Daniel Paternain-Dallo, Computer Engineer of the NUP/UPNA-Public University of Navarre, has developed algorithms to reduce and optimize images; using a reduced image (with between 1% and 10% of the information from the original image), they allow 100% of the pixels in the initial image to be restored. “With these algorithms we can obtain high quality images that are very similar to the original. We have shown that even if we lose 100% of the pixels of the image, we can restore a lost image with a very high level of quality just by using the information from the reduced image.” The PhD thesis is entitled Optimization of image reduction and restoration algorithms based on penalty functions and aggregation techniques.
Daniel Paternain’s research comes within the framework of the digital processing of images, a discipline that has burgeoned tremendously over the last forty years. In fact, the high quality of current digital images is partly due to the fact that there is increasingly greater spatial resolution (higher number of pixels); in other words, it is possible to use a much larger quantity of information to represent the same scene.
As the researcher points out, the two main problems of high resolution images are the cost in storing or transmitting them (over the Internet, for example) and the long period of time that computers take to process them. To solve these two problems at the same time, Daniel Paternain’s thesis puts forward various algorithms to reduce images in terms of both colour and greyscales. “The aim,” he explains, “is to reduce the number of pixels the image contains while trying to keep all or as much as possible of the information and properties contained in the original image.”
The main idea underpinning the algorithms developed is to divide the image into small zones that are processed individually. “For each zone we look for a value that is simultaneously the least different from all the pixels that form the zone. By following this methodology, we can design algorithms that are very efficient in terms of execution time, and capable of being adapted to the local properties of each zone of the image.”
Firstly, he developed an algorithm to reduce the images on the greyscale. Aggregation functions are used to achieve this; “they are highly applicable because they study the way of combining various homogeneous or heterogeneous sources of information into a single value to represent them.” Furthermore, for colour images in which each pixel contains a larger amount of information, he studied the so-called penalty functions. “This mathematical tool enables us by means of optimization algorithms to automatically select the aggregation function most suited to each zone of the colour image.”
The final step in his research explored how to apply the reduction algorithms to one of the most difficult problems in image processing: restoring digital images. “Let us assume that we lose a large quantity of pixels owing to a transmission error or a problem when processing the image,” explains Paternain. The restoration algorithm seeks to estimate the original value of the pixels we have lost and to obtain an image as similar as possible to the original.”
To make the restoration possible, it is necessary to have available in advance a highly reduced version of the original image that will concentrate most of its properties. The more information we have stored in the reduced image, the greater the quality of the restored image will be. “This reduced version cannot be very big as we don’t want to excessively increase the cost of storing the image. The reduced images we obtain through these algorithms account for between 1% and 10% of the original image.” After that, an optimization algorithm is generated; it is capable of estimating the value of the lost pixels using the information contained in the damaged image as well as in the reduced image.
“We have shown that by using the algorithms proposed in this thesis, we can obtain images of high quality that are very similar to the original. We have shown that even if we lose 100% of the pixels of the image, we can, with a very high level of quality, restore an image that has been completely lost, just by using the information from the reduced image.”
Go deeper with Bing News on:
Reduce and optimize images
- How to Get the Best Battery Life Out of Your Steam Deck
Valve’s Steam Deck offers a rocky start to a promising future. While there’s nothing quite like having access to (most of) your gaming PC’s library in a Switch-like handheld, it’s also got a number of ...
- Milanese hospital breaks down city smog with titanium dioxide coated porcelain louvers
Porcelain fins on the facade of San Raffaele Hospital in Milan designed by Mario Cucinella Architects maximize daylight and reduce pollution.
- UAVOS demonstrates the opportunity of autonomous technology in forestry
UAVOS, a developer and manufacturer of security and commercial solutions based on advanced Unmanned Systems, has completed a drone-based forest inspection project to assess the general timber ...
- Smart washrooms can help reduce germ transmission in healthcare facilities
Public washrooms can be overlooked, but by leveraging the IoT, smart washrooms can provide a range of touchless and data-driven solutions.
- Visteon Technology Enriches the Quality of Automotive Display Graphics
Visteon Local Dimming is a fully integrated system that dynamically improves image quality Visteon's Local Dimming Technology Solution Visteon has developed an integrated system that dynamically ...
Go deeper with Google Headlines on:
Reduce and optimize images
Go deeper with Bing News on:
- The best SEO companies across the globe
Bringing in the best SEO company with the latest trending SEO services for your website is crucial to your success.
- Files Sent by Alex Jones Included Child Porn, Sandy Hook Lawyers Claim
Jones—who was just ordered to pay $4.1 million—says the images were a “malware attack attempting to embed” child porn on his servers ...
- 5 Amazon product listing optimization must-haves
Amazon will continue to be highly competitive. Want to be successful? Optimize your product listings to the fullest with these tips.
- Konstellation Q2 New Product Upgrades Announced to Optimize Mainnet and User Interface
The blockchain protocol built on Cosmos SDK, Konstellation, has undergone a major UX, UI and Mainnet upgrade. The SDK upgrade and UX/UI upgrade are targeted to make the ecosystem more secure and ...
- UTSA professor to help decode James Webb Space Telescope images
UTSA astrophysics professor Chris Packham is part of a collaboration of scientists granted coveted access to the James Webb Space Telescope.