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Format Title Artist Label Model Number Release Press 7 果てない／キムチ BASI VYBE MUSIC,ULTRA-VYBE,BASIC MUSIC VB-101054 2019/04/13 - Side Track Title Produce A 1 果てない 東里起 B 2 キムチ TAKU a.k.a. K-CITY PRINCE ※RECORD STORE DAY 2019 PERTAIN RECORD AMAZON 果てない / キムチ 【RECORD STORE DAY 04.13.2019】7インチ [Analog] 店舗・生産限定盤 PERTAIN CD AMAZON MELLOW HMV BASI/Rap Amazing
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FCAS教授 ここではFCAS教授についての考察を取り扱います。 ステータス スキル 装備 育成 狩場
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10.4 / I. Kawahara 10.4 Measurement of Moving Picture Resolution for Displays Using Scrolled Sine-Bursts Isao Kawahara * ** * Image Quality Project, Advanced PDP Development Center Corporation (APDC), Japan. ** Panasonic AVC Networks Company, Matsushita Electric Industrial Co., Ltd, Japan Abstract Measurement of moving picture resolution for displays has been established, featuring a set of scrolled sine-bursts with different frequencies and different signal levels. For higher accuracy, ingenious ideas including sub-pixel scrolling are introduced, showing the definite advantages over response-time-based approaches. Automated system and human visual perception are also discussed. 1. Introduction With the spread of digital cameras with high pixel count, and the penetration of HDTV digital broadcasting in numerous countries and regions, consumers have also become more interested in the resolution of their TV sets. Flat Panel Displays (FPDs) appear to have replaced many of the CRTs in the market, appealing high image quality equipped with the latest technologies. Also, various sizes with “1920x1080” resolution, which is the high-end format for current broadcasting, are available at moderate prices from manufacturers. However, some of FPDs do not have sufficient performance especially in showing moving pictures, even if they are advertised as TVs suitable for movies, not as PC monitors. Some manufactures even claim that their response of panel device being one of the fastest, so that they could reproduce flawless image quality in fast motion, disregarding the actual blurred motion images owing to hold-time effect from driving scheme [1]. In LCD, with the over driving technologies and new LCD modes, average response has been improved [2]. However, further efforts are required before we reach sufficient level as Full-HDTV. LCD manufacturers, as well as researchers often use response time to indicate panel performance [3,4,5], though their measurement are not carried out in a uniform criteria. Some uses rise-and-fall response (TrTf), and others prefer Gray-to-Gray LCD response to TrTf. In most cases, manufacturers rarely indicate on what condition they made such measurements. Therefore, comparison of response times in brochures is almost pointless. Among them, MPRT [3] is a response time measurement based on pursuit camera system, simulating eye tracking for moving pictures. This means MPRT is straightforward to human perception and has been accepted by the experts so far, despite the crucial drawbacks as mentioned in the next session. As of the first quarter of 2008, standardization process on MPRT is expected to be completed by ICDM (International Committee for Display Metrology) before long. 2. Limit of Response Time measurement Although MPRT is straightforward and has been well accepted by display experts, it has a fundamental disadvantage arising from response time based measurement itself. 2.1 Benefit of Pursuit Camera System Unlike recent tendency of approaches using high-speed camera, MPRT system is a simple and direct emulation of human perception system, and images captured by the system are exactly the emulation of what human perceives. In contrast, high-speed camera approaches are just simulation only, requiring high speed shuttering, also expecting relatively slow response of any light emission from target sample displays. Otherwise, simulated results will not produce reasonable output in the high-speed camera system. 2.2 Benefit of Response Time Measurement Computer monitors are available in a wide range of screen sizes, pixel counts, aspect ratios, frame rates, and so on. One largest merit of using response time is its simplicity in showing the results using milliseconds ([ms]) as a unit, regardless of the differences in all other features of the target displays. For example, response for an SXGA monitor at 70Hz operation can be measured in [ms] just the same as for a 1920x1080 HDTV monitor on 60Hz interlaced source. 2.3 Limit of Response Time Based Measurement Despite the important advantage mentioned in the section 2.2, response time has some crucial limits. From an engineering point of view, a waveforms captured by an MPRT system as a response to the test chart, is called a step response , and the waveform itself should contain all the information regarding moving picture performance, as long as the display system is considered as linear system. However, many of FPDs is not a linear in displaying and perceiving moving pictures. More importantly, to degenerate a waveform of a step response , which contains important information, into a mere response time , should end up in discarding substantial information on moving picture performance. This is exactly what MPRT is doing in estimating so-called BET or EBET, from the step response [4]. In 0 0 .2 0 .4 0 .6 0 .8 1 1 .2 0 10 20 30 40 5 0 E lapsed T im e (arbitrary unit) L um inance (N orm alized) 90% 10% EBET BET Figure 1 In this figure, a value of BET (or EBET), given by MPRT, fails to differentiate two different step responses. ISSN/008-0966X/08/3901-0121-$1.00 © 2008 SID SID 08 DIGEST • 121 10.4 / I. Kawahara general, by selecting just a few points form the step response and making extrapolation or interpolation to obtain EBET, higher frequency components will be lost and two different step responses will give one identical BET or EBET as shown in Figure 1. This may happen even if the whole display system is considered as linear. In essence, response time is equivalent to an approximated value of frequency response at just one frequency point somewhere in low to middle range. Therefore, response time is neglecting the important high frequency components contained in the original step response. It is also impossible to predict the original frequency response from a degenerated response time as given in MPRT, for example. 2.4 Human Perception vs. Response Time It is reported that owing to so-called Mach band effect , blurred width may look differently according to viewing distance from the screen. This means that viewing distance in a subjective test, which is required to validate MPRT results being close to human perception, should be strictly defined. In other expression, width of blurred edges are likely to be evaluated differently depending on the viewing distance. All these indicate that evaluation of displays in this approach is closely connected with human vision, and it is difficult to separate display factor alone from human factors. In short, response time based measurement is not a sophisticated approach in evaluating moving picture performance of display itself. 3. Measurement Using Sine-Bursts To overcome the issues raised in the section 2, the advanced PDP development center corporation (APDC) have developed an MTF related concept using a set of sine-bursts to quantify moving picture performance, with simple naming as Moving Picture Resolution. The APDC has also established measurement procedures and a prototype of an automated system [7,8,9]. The concept has following unique features - Effective test patterns using sine-burst - Intuitive unit of TV-lines - Reasonable resolution step of 50 TV-lines - Ingenious sub-pixel scrolling by 6.5ppf - Easy-to-do subjective test, being robust and accurate 3.1 Test Charts 3.1.1 A Set of Sine-bursts A set of sine-bursts is a main feature of the APDC test chart as shown in Figure 2. As stated in the section 2.3.1, response time retains limited information and is nothing more than an approximation of a frequency response at only one point in frequency domain. In contrast, the APDC test chart, containing sine-bursts from low to high frequencies, is more suitable for probing detailed frequency response as naturally understood. 3.1.2 Multi-level Sine-Bursts In addition, sine-bursts in the chart contains three different background levels as well as three different contrasts for each frequency, effectively simulating gray levels in natural images. 3.2 Resolution in TV-lines 3.2.1 From Milliseconds to TV-lines Unit of milliseconds ([ms]), used in response time measurement may be one benefit as described above, however, no other particular merit seemed be found. In fact, milliseconds has no direct association with original still picture resolution, which can be easily found from the brochures. It is also far from intuitive as a performance factor of display, since we usually do not directly differentiate time factor in watching display screens. In contrast, the APDC method uses TV-lines , or lines for short, as a unit to measure Moving Picture Resolution. It is intuitive and easy to understand, because it is based on the definition of still picture resolution of TV, which corresponds to the pixel count with in the same span of screen height as illustrated in Figure 3. Also, TV-lines becomes very useful as we can usually use a most common format like 1920x1080 as input for most test sample displays for TV use. The perfect score in this case is 1080 TV-lines for all the test sample displays, following the definition illustrated by Figure 3. 1920 1080 1080 H 3.2.2 Resolution Step of 50 TV-lines As shown in Figure 2, “APDC Test Chart #1” contains a vertical patterns stacked with four-cycled sine bursts as shown in Figure 4, with resolution step of 50 TV-lines. Unlike wedges in conventional test patterns, these discrete scales make judgment easier in subjective test, as we can differentiate that subtle differences appeared on the adjacent sine-bursts. Validation of 50 TV-lines can be found in [6]. 3.3 Scrolling Velocity 3.3.1 Typical Speed Representing TV Contents In general, moving picture performance depends on the speed of motion. For convenience, we surveyed TV contents and found a Figure 2 APDC Test Chart #1. Figure 3 By definition, still picture resolution in 1920x1080 panel equals to 1080 TVlines. Figure 4 Stacked Four-cycled sinebursts, with constant band height of H. 122 • SID 08 DIGEST 10.4 / I. Kawahara typical speed of “five seconds per screen” representing TV programs. This is close to a walking speed of a full-shot person on a 16 9 screen, according to the APDC research. 3.3.2 Higher Accuracy Owing to Sub-pixel Scrolling Scrolling speed defined as above corresponds to “6.5 pixel per field” (or 6.5 ppf), in 1920x1080 60Hz format. Having a fractional figure “5” after the decimal point, signal generators should output different information between two adjacent fields. This results equivalently in sub-sampling or double-rate sampling and improves appearance on Patterns having frequency component close to Nyquist point on matrix display significantly as shown in Figure 5. 550 900 1080 [ TV lines ] Normal Pixel Sampling Sub-Pixel Sampling 550 900 1080 [ TV lines ] Normal Pixel Sampling Sub-Pixel Sampling 3.4 Subjective Test 3.4.1 Accurate and Easy-to-do Test Subjective test by APDC method is easy to perform just by following the steps below 1. Scroll the test chart. 2. Read out maximum resolving point for each patterns. 3. Average the nine results. 4. Average the results from all participants. In reading out the patterns, we need some special, but simple attention beyond the critical points, where original “four-line pattern” often turns into “three dark lines” as shown in Figure 6. This “three-line pattern” is a false response and mainly caused by hold time effect of the display, such as typical LCDs. For this reason, patterns must be checked from lower frequency part (A) to middle (B) and high frequency part (C) to so as not to overlook false response. 3.4.2 Robustness in Subjective Test In a subjective test, decision is made by finding a critical point, or limit resolution point, where level of response vanishes. This may sound somewhat ambiguous, as visual acuity and other conditions like lighting environment are not particularly specified. However, as long as the observer comes closer enough to the screen, while keeping minimum distance of distinct vision, valid response as shown in Figure 6 should look always as valid, and false response as such. This essentially endorses “Free Viewing Distance” and makes APDC method far robust against various viewing conditions compared to response time based measurements including MPRT. - 0 .4 - 0 .2 0 0 .2 0 .4 0 .6 0 .8 1 1 .2 0 1 0 0 2 0 0 3 0 0 4 0 0 5 0 0 6 0 0 7 0 0 8 0 0 9 0 0 1 0 0 0 R esolution [T V -lines] R esponse (arbitrary unit) Valid Response False Response A B C 4. Development of Automated System APDC has also developed a prototype system for automated measurement as shown in Figure 7. For efficiency in handling the measurement process, “APDC Test Chart #2” shown as Figure 8 is used. Figure 5 Sub-pixel sampling improves appearance on patterns close to Nyquist resolution. Figure 6 Valid “four-line pattern” (left) and false resolution of “three dark lines” (right). Figure 8 “APDC Test Chart #2” for automated measurement. Figure 7 Automated Measurement System for Moving Picture Resolution Developed by the APDC. SID 08 DIGEST • 123 10.4 / I. Kawahara BBuursrst tD Deetetecctitoionn LLeevveel lN Noormrmaalilzizeerr Image Monitoring Waveform Check using Fourier Analysis Waveform Check using Fourier Analysis Reference Level Detection Reference Level Detection Amplitude Processing Amplitude Processing Phase Processing Phase Processing DDeeccisisioionn GO / NG 5. Measured Results By using the approaches as described above, the automated system captures images as shown in Figure 10 (Similar images are perceived by human observers). As shown in the figure, difference of response for details in moving picture is clearly discriminated, for example, the improvement in 120Hz FPD is obvious compared to 60Hz FPD through this measurement.. Both subjective test and automated system showed excellent correspondence. Display A Display B (60Hz FPD) 300 TV-lines 350 TV-lines 900 TV-lines (Marginally) (Not Readable) OK Display C (120Hz FPD) 300 TV-lines 350 TV-lines 900 TV-lines 300 TV-lines 350 TV-lines 550 TV-lines 600 TV-lines 450 TV-lines OK OK OK OK OK OK NG NG NG (False Resolution) (Not Readable) (Not Readable) NG 6. Discussions 6.1 New Findings on CSF vs. Viewing-Distance The red line in Figure 11 (A) illustrates a phenomenon known as CFS, a function explaining that human visual system being most sensitive to the middle frequency components than to lower or higher frequency components. However, while investigating the issues on viewing distance, the authors have discovered the new fact that the CSF function is not clearly visible through a linear frequency sweep [9]. Figure 11 (B), is a linear scaled sweep ending at the Nyquist limit in the right end of the pattern, where black and white lines are displayed alternatively line by line. If we come close enough to the screen, then we should distinguish every detail of the sweep pattern as Figure 11 (B). Nevertheless, we do not recognize any mountain shaped boundary on the screen, as long as we use linear sweep of the right scale as mentioned above. This also vindicates “Free Viewing Distance” discussion in 3.4.2. Average luminance over a certain area might be a possible cause of what has been believed as CFS. Further studies are required to confirm details on this issue. 7. Conclusions Moving picture Resolution, the measurement using sine-bursts established by APDC has numerous advantages over previous approaches, and was verified to be reasonable and effective through the experiments and discussions. Being intuitive and easy-to-do using a unit of TV-lines, the APDC method provides accurate and quantitative measurement by both subjective test and automated measurement. 8. References [1] T.Kurita, A.Saito, I.Yuyama, “Consideration on perceived MTF of hold type display for moving images,” pp823, Proc.IDW1998T. [2] Y. Shimodaira, ‘Fundamental phenomena underlying artifacts induced by image motion and the solutions for decreasing the artifacts on FPDs’, SID 2003 Digest, pp. 1034–1037 [3] J.Someya, Y.Igarashi “A Review of MPRT Measurement Method for Evaluating Motion Blur of LCDs” IDW 04 VHF6/LCT7-1 [4] J. Miseli, J. Lee, J. H. Souk, “Advanced Motion Artifact Analysis Method for Dynamic Contrast. Degradation Caused by Line Spreading,” SID ’06, 3.1, pp. 2-5 (2006). [5] M. Klompenhouwer, ‘Comparison of LCD motion blur reduction methods using temporal impulse response and MPRT’, SID 2006, Digest, pp. page 1700-1703 [6] “Resolution Measurement Methods for Digital Cameras”, CIPA DC-003-Translation-2003, Camera Imaging Products Association, pp.6-7, pp. 28-32, (2003) [7] I. Kawahara, “New Findings on Display Performance in Large-Sized PDP,” SID ’06, 12.3, pp. 151-154 (2006). [8] I. Kawahara, “New Method for Measuring Moving Picture Resolution Suitable for Various Types of FPD”, EuroDisplay2007, S9-4, pp165-168 (2007) [9] I. Kawahara, et al, “Measurement and Evaluation of Moving Picture Resolution From Milliseconds to TV-Lines”, IDW 07, VHF1-1, (Invited Paper), (2007) Figure 9 Main Flow for Making Decisions on Moving Picture Resolution in Automated System. Figure 10 Captured Images and Measured Results from Automated System. (Similar images are perceived by human eyes.) (A) (B) Figure 11 No CSF observed through a linear sweep (Right) in a right scale. (A) Explained CSF, (B) Linear Sweep. 124 • SID 08 DIGEST
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