Work memories in Super 8: Searching a frame quality metric for movie restoration assessment

Film and Digital Media: Open Issues and Novel Approaches for Digital Color Film Restoration

“…Retinex models and SCAs algorithms have been found successful for many applications in different domains, among which the cinematographic and photographic restoration. In this field Retinex implementations have been used as kick-off technique in the workflow, but also to perform full restoration at reduced costs [21], [22], [23]. See Figure 2 for some examples.…”

A cockpit of multiple measures for assessing film restoration quality

“…Nowadays, many NR metrics are based on the use of neural networks and, synthetically, computed a quality value based on the "experience" made on a set of training images, e.g., [13] . Such methods are trained on commonly used test images not effectively representing the range and variety of different scenes a director or artist may have recorded [31] . Furthermore, the film bases and technologies used during the years, such as Technicolor, Kinemacolor, Tinted and Toned films, present specific features and colours that differ fundamentally from a natural pristine image.…”

Research directions in color movie restoration

“…There is a large amount of research about image quality. However, this research cannot be applied directly to movie restoration because it is aimed at a type of quality intended for modern movies and screenings 17,18 . The lack of guidelines and methods with which to assess the image and video quality of film restoration procedures means that producing restoration output continues to be based on subjectivity and visual assessment (Figure 3).…”