The HD Reality Enhancer analyzes the feature points of individual pixels in video input and automatically optimizes each pixel according to the feature points detected. Data lost through compression and other processes is recovered, allowing the image to be reconstructed with 14-bit precision.
The video analysis block has multiple feature point analysis modules and can detect flat areas, detailed areas, edges, noise, subtitles and other aspects at the pixel level. This data is used to select the optimal process, and to control the intensity of processing. The video analysis block uses video analysis to control the following two factors.
1) Enhance–reconstruction of lost details
The system detects detailed areas in the image and restores the sense of detail existing in the original video data. It enhances the image by subtly modifying detail at the individual pixel level to restore data lost during data compression. Earlier enhancement systems, which uniformly increase sharpness across the entire image, are not practical, since they cause outlines to become unnaturally conspicuous and also enhance noise. By analyzing images at the individual pixel level, HD Reality Enhancer is able to restore natural depth and clarity through a process that enhances only those elements needed to restore the original sense of detail.
2) Smoothing–restoration of natural color gradation
Even if the original video has excellent color gradation, subtle variations are lost during 8-bit quantization. This can result in color banding in areas that should have smooth gradation. The smoothing system accurately detects color banding and restores the original smooth gradation at 14-bit quality. Smoothing is not applied to areas where there is no banding, so there is no unintentional loss of precision in textured areas.