Ultimate Picture On Your Tv

Transcript

Digital Natural Image engine www.samsung.com Ultimate picture on your TV Ever since the invention of television, people have wanted a bigger and better picture, That’s why new kind of display device like plasma TV and LCD TV have come into your life. Samsung's revolutionary DNIe puts the ultimate picture on your screen TM Digital TV allowed larger screens, but only fanned the flames of demand for higher picture quality. Samsung's dream was to meet that demand by creating a Digital Natural Image engine (DNIeTM) that could take a signal from any kind of source-not just conventional or highdefinition digital broadcasting, but even DVD, Camcorder, PC and games-and turn it into a stunning picture on any kind of screen. At last, thanks to Samsung’s 30 years of experience in TV manufacturing and an aggressive program of R&D, this ambitious dream has been fulfilled. With Samsung, television has entered a new era. The era of DNIeTM. > > To any kind of display device From any signal > > Flat Panel TV Plasma sharpen the edges Contrast Enhancer Analog eliminate noise Digital(HD) Flat Panel TV LCD Motion Optimizer DVD >>>> >>>> Projection TV boost light and shade Camcorder Color Optimizer DLP 3 Panel LCD CRT Flat CRT TV PC / Game show natural hues Detail Enhancer Digital Natural Image engine Motion Optimizer eliminates noise Contrast Enhancer boosts light and shade Detail Enhancer sharpens the edges Color Optimizer shows natural hues The noise reduction phase of DNIeTM picture quality Many viewers are troubled by the unwanted side-ef- Similarly, many viewers complain of the unnatural For each scene, the Color Optimizer calculates the enhancement is handled by a sophisticated algo- fects that conventional contrast enhancement can effect that conventional uniform detail enhance- saturation of red, green, and blue in the input signal rithm called a Motion Optimizer. The visual data are produce, such as noise boost-up and flicker. ment produces by relying on artificial amplification and adjusts it to the shades that the human eye ac- has done away with these problems by of the input signal. cepts as natural. DNIeTM Conventional automatically broken down into signal and noise Conventional DNIeTM DNIe TM Conventional DNIeTM Conventional DNIeTM and adjusted through a combined spatial/temporal developing an epoch-making algorithm that recog- In contrast, DNIeTM automatically analyzes the por- Even a conventional process like white tone en- process to eliminate noise and blurring without the nizes over 1 million criteria for applying contrast. Its tion to be amplified, detecting and re-processing hancement produces more striking results when slightest damage to the original signal. This guar- detail contrast enhancement technology can auto- any noise or defect to bring the viewer a startlingly used with DNIeTM. The end result is a palette of vivid antees the viewer a picture of astounding sharp- matically analyze up to 70,000 local images within a sharp and lifelike image. hues and pure white tones to satisfy the most dis- ness, whether the scene is still or moving. frame, treating the viewer to a picture rich in con- trast even in the tiniest details. cerning viewer's eye. Digital Natural Image engine eliminates noise Motion Optimizer The input signal then passes through a series of four advanced processes that form the core of the DNIe TM boosts light and shade Contrast Enhancer The first of these processes, the Motion Optimizer, is sharpens the edges shows natural hues Color Optimizer After passing through the Motion Optimizer, the visual signal The next step in the signal's journey from input to high- The final process undergone by the input signal is the Color is sent to the Contrast Enhancer. This process automatically quality output is the Detail Enhancer. Optimizer. DNIeTM's Detail Enhancer uses its own specially developed For each scene, the Color Optimizer analyzes the hues of the technology to dramatically improve sharpness just where it input signal to determine and preserve the overall level of adjusts contrast and brightness to natural levels, producing technology. Detail Enhancer an extraordinarily rich and vivid picture. responsible for noise reduction. But it goes far beyond The usual method of contrast enhancement involves matters. The slightly unnatural appearance that results from brightness. The colors are adjusted and improved, without conventional noise reduction processes in eliminating adjusting the overall brightness of the image, which has conventional uniform detail enhancement is re-detected and unnatural intensification, to give vivid tones corresponding to blurring, image tails, and even the minutest traces of noise to several unfortunate side-effects. It can make the whole re-adjusted to produce a strikingly sharp and convincing the living shades of nature (figure 3-4). bring the consumer a picture of astounding sharpness. scene appear unduly bright or dark, produce an unintended image. Conventional process. small areas of noise boost-up and flicker (figure 3-3-a). side-effects from artificial signal amplification scenes. Unlike conventional noise reduction methods, the between successive frames, with spatial noise reduction DNIeTM applied to the two-dimensional image space (figure 3-1). DNIeTM figure 3-1 Conventional sharp detail without side-effects through automatic analysis of signal amplification portion In scenes of motion or rapid change, a separate contrast Output figure 3-3-b defects resulting from few contrast criteria and change in overall brightness which detects and reduces noise in the temporal space Color & White Tone Enhancement > > figure 3-2-b DNIeTM Color Saturation Calculation > > Conventional of sharpness even in minute details and rapidly changing Motion Optimizer combines a motion adaptive temporal filter, Input figure 3-3-a defects resulting from few contrast criteria and change in overall brightness DNIeTM ‘s noise reduction technology permits a startling level Conventional detail enhancement is based on the artificial amplification of the input signal, but this inevitably produces figure 3-2-a noise and analyzed through a combined spatial/temporal in rapidly changing scenes (figure 3-2-a). > > the visual data are automatically broken down into signal and boost-up of noise along with signal, and cause a flicker effect figure 3-4 Using an advanced algorithm newly developed by Samsung, By calculating the color saturation of red, green, and blue in value should ideally be set for each visual signal, but this each scene, the colors are optimized to the shades that the presents great technological difficulties. human eye accepts as natural.(figure 3-5). difficulties by applying over 1 million criteria for contrast and Conventional Conventional DNIeTM DNIeTM figure 3-5 DNIe TM’s Contrast Enhancer process has overcome these automatically determining the optimum contrast level for any motion blurring & image tails target frame eliminate motion blurring & image tails previous frame target frame kind of visual data (figure 3-2-b). The Contrast Enhancer can also analyze up to 70,000 local images within a frame to preserve contrast in the smallest details without affecting overall color or brightness. Even in Perfect in every detail applying the conventional black and white stretch process, analyze target pixel, surrounding pixels and correspondent pixel in previous frame. target pixel In the context of DNIe TM, even existing technologies can DNIe TM achieves greater vividness than earlier products, become more effective, as we saw with the black and white ensuring optimal contrast levels close to those of nature. DNIe 's Detail Enhancer is not limited to this unilateral stretch process incorporated at the Contrast Enhancer stage. amplification of the signal. Instead, the portion to be Another example is the white tone enhancement used in the amplified is automatically analyzed to detect and re-process Color Optimizer, which produces purer whites with DNIeTM any slight noise or other defect, while sharpness and detail than it does with conventional products. TM analyzing target not analyzing pixels DNIeTM Conventional The process has been named Motion Optimizer to emphasize are strengthened only in the signal that belongs to the that this new technology optimizes image quality by original visual data. Avoiding the side-effects of earlier eliminating noise from the visual data, not only where the picture stays still between successive frames, but also where it is in motion. As a result, picture quality is raised to a level 10,000 10,000 6,000 (figure 3-3-b). 4,000 4,000 2,000 2,000 0 damage to yield a high-quality picture perfect in every detail 8,000 8,000 6,000 that will satisfy the most discerning consumer. methods, the vivid original signal is preserved without 12,000 12,000 50 100 150 200 250 300 graph of pixels producing shallow contrast 0 50 100 150 200 250 300 graph of pixels producing deep, vivid contrast The Color Optimizer also uses a new technology of color transition improvement to detect and analyze the color boundaries in detail, even in rapidly changing scenes. Together with the overall color enhancement, this helps bring natural living color to the viewer's screen.