Applied Science Fiction's Digital ROC was able to reconstruct the original color that had been lost over time, automatically.

chambres d'hotel Limerick Unlike other image-quality improvement products in the market that run a series of filters on the post-scanned image, Digital ROC identifies clues in the scanned image to correct the color. It uses a complex set of proprietary algorithms to detect and correct exposure and color problems, with the aim of producing a visually pleasing image. Since the process is implemented during the image-capture phase, it is completely transparent to the user. In addition to color reconstruction, this application corrects color casting due to exposure problems or lighting color deficiencies such as those produced by fluorescent or tungsten lighting sources.

Some digital imaging software packages offer manual tools to manipulate color balance. However, manually correcting color problems requires advanced skills and a significant time investment. Other tools offer automatic color balancing that may provide acceptable results on images with minor color problems, but are too simplistic to handle severely faded images or lighting color casts. The set of proprietary algorithms has two stages:

1. The first stage equalizes the color cast faults across all channels.

2. The second corrects for color shifts, removing any overall tint from the image.

In faded images, the dynamic range of one or more of the color channels is compressed relative to the other channels, and the amount of compression varies across the grayscale. The goal of the first stage is to detect discrepancies in dynamic range among the color channels and create a tone transfer curve for each channel that equalizes the ranges. The original image is processed to emphasize the color faults over the desired subject color. The faults are then analyzed to include the reliability of the fault measurements and the characteristics of the image. The algorithms generate and apply tone transfer curves that equalize the color faults across all channels, shaping each channel to provide a more visually pleasing image once the color shifts are removed. The second stage objective is to remove any overall color cast from the image and enhance the contrast. This stage centers each of the channels by aligning the true gray points of each channel, which are determined using a method that leverages knowledge of real world images instead of using a mathematical mean. Algorithms intelligently adjust each channel to approach the true black and white points, greatly improving image contrast.

Professional and amateur photographers no longer need to depend on labor-intensive software solutions for image enhancement.  Digital ROC restores the color quality in faded prints and corrects exposure problems automatically without the need for specialized skills or a considerable time investment.