» Samsung’s Digital Natural Image Engine (DNIe) Video Processing

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March 27, 2008

Samsung’s Digital Natural Image Engine (DNIe) Video Processing

DNIe, Samsung’s Digital Natural Image Engine is under continual development as Samsung recognizes that video processing continues to become more important for picture quality improvement, especially with larger high definition displays which magnify any image defects. Video processing can optimize contrast levels, adjust color levels, reduce unwanted signal noise and remove image artefacts.

Samsung DNIe Diagram

Samsung’s Digital Natural Image (DNle) engine combines a set of four image processors and a six-times density enhancer to deliver an optimized on-screen image. Samsung’s DNIe that can process video signals from any source including high-definition digital broadcasting, DVD, video camera, PC and game consoles.

Motion Optimizer

The Motion Optimizer processes fast-moving images to produce more natural-looking motion, without blurring or noise. Combining motion adaptive and temporal filtering, the Motion Optimizer reduces temporal noise between successive frames and spatial noise in the two-dimensional image space.

Contrast Enhancer

The Contrast Enhancer enhances brightness and contrast levels for more natural whites and deeper, richer blacks containing greater detail. Over one million criteria are applied to determine the optimum contrast level. Up to 70,000 image fragments within a frame can be adjusted to preserve contrast in image details without compromising overall color or brightness.

Detail Enhancer

Video signal elements are analysed by the Detail Enhancer to produce sharper detail, clear image separation and natural edge transition. Sharpness is only adjusted in areas of importance to avoid the unnatural appearance of conventional uniform signal amplification techniques.

Color Optimizer

To produce more lifelike colors, the Color Optimizer analyses the hues of the input signal to determine and preserve the overall level of brightness. The color saturation of red, green and blue in each scene is calculated and the colors optimized to produce shades perceived as natural by the human eye.