Noise Reduction in Concert Photography Using AI

Artificial intelligence has become an integral part of their lives. Its development has a significant impact on the field of art (photography, film, music). AI (artificial intelligence) tools can be of great help in noise reduction. For easier evaluation of results, all photographs were collected in appendices at the end. It was found that Lightroom procedures achieve very comparable levels of noise removal to advanced artificial intelligence algorithms and that the performance of free tools is inferior compared to paid ones.

Problem

Artificial intelligence has become an integral part of their lives. Its development has a significant impact on the field of art (photography, film, music). Concert photography requires experience and good knowledge of the camera due to constantly changing light, fast movement of subjects on stage and limited use of flash.

A particular challenge in this type of photography is noise reduction. Noise is a random change in brightness or colour information in photographs. It is most often perceived as grain, is more noticeable in darker parts of the photograph and is associated with something undesirable.

It affects the quality of the photograph.

Solution and Method

AI (artificial intelligence) tools can be of great help in noise reduction. This was particularly pronounced in photographs with high ISO values, where conditions for capturing photographs were more demanding. Using various software tools such as Topaz Photo AI, Adobe Lightroom, HitPaw FotorPea, Nero Ai and Vance Ai PC, the effectiveness of noise removal, detail preservation and photograph quality were compared.

A comparison was made between their functions and prices. After processing selected photographs and removing noise, analysis followed.

Results

For easier evaluation of results, all photographs were collected in appendices at the end. It was found that Lightroom procedures achieve very comparable levels of noise removal to advanced artificial intelligence algorithms and that the performance of free tools is inferior compared to paid ones. In photographs with high ISO values, some details were lost with noise reduction.

Built-in noise reduction settings in the camera did not achieve the same quality as specialised photograph processing programmes. Of all the tools compared, Topaz Photo Ai and Adobe Lightroom were the most satisfactory. Each had certain advantages and disadvantages.

Artificial intelligence has significantly improved the photograph processing workflow and made photographers' work easier, particularly in noise removal. However, under certain conditions, such as high ISO, they still cannot preserve all details in the photograph. It is believed that these difficulties will be resolved with upgrades to artificial intelligence algorithms in the future.