WO2005045757A2 - System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display - Google Patents
System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display Download PDFInfo
- Publication number
- WO2005045757A2 WO2005045757A2 PCT/US2004/034773 US2004034773W WO2005045757A2 WO 2005045757 A2 WO2005045757 A2 WO 2005045757A2 US 2004034773 W US2004034773 W US 2004034773W WO 2005045757 A2 WO2005045757 A2 WO 2005045757A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- filter
- scaling
- subpixel
- image data
- input
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims description 77
- 238000009877 rendering Methods 0.000 title claims description 41
- 230000000694 effects Effects 0.000 title description 4
- 238000012545 processing Methods 0.000 claims abstract description 7
- 238000012952 Resampling Methods 0.000 claims description 18
- 239000011159 matrix material Substances 0.000 claims description 16
- 238000001914 filtration Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 6
- 238000012937 correction Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 229910003460 diamond Inorganic materials 0.000 description 5
- 239000010432 diamond Substances 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 239000000872 buffer Substances 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 4
- 230000001747 exhibiting effect Effects 0.000 description 4
- 238000005070 sampling Methods 0.000 description 4
- 239000003086 colorant Substances 0.000 description 3
- 239000004973 liquid crystal related substance Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 241001085205 Prenanthella exigua Species 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000000254 damaging effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/387—Composing, repositioning or otherwise geometrically modifying originals
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2300/00—Aspects of the constitution of display devices
- G09G2300/04—Structural and physical details of display devices
- G09G2300/0439—Pixel structures
- G09G2300/0452—Details of colour pixel setup, e.g. pixel composed of a red, a blue and two green components
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2340/00—Aspects of display data processing
- G09G2340/04—Changes in size, position or resolution of an image
- G09G2340/0407—Resolution change, inclusive of the use of different resolutions for different screen areas
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2340/00—Aspects of display data processing
- G09G2340/04—Changes in size, position or resolution of an image
- G09G2340/0457—Improvement of perceived resolution by subpixel rendering
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/20—Function-generator circuits, e.g. circle generators line or curve smoothing circuits
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Definitions
- FIG. 1 represents four input samples of a signal to be interpolated
- FIG. 2A represents an array of sample points and an array of points to be interpolated.
- FIG. 2B depicts the filters needed to implement cubic interpolation as a filtering operation
- FIG. 3 shows input and output pixels with their sample areas aligned
- FIG. 4 depicts input and output pixels with their centers aligned
- FIG. 5 depicts one embodiment of input output pixel alignment.
- FIG. 6 depicts a sine wave signal sampled at an arbitrary rate.
- FIG. 7 depicts the signal of FIG. 6 with interpolated points between each sampled point.
- FIG. 8 depicts the signal of FIG. 6 reconstructed by whole pixels using only the original sample points, exhibiting severe moire distortion.
- FIG. 9 depicts the signal of FIG. 6 reconstructed by subpixel rendering using both the original samples of FIG. 6 and the interpolated points of FIG. ⁇ 7, exhibiting significantly reduced moire distortion.
- FIG. 10 depicts an image signal sampled at an arbitrary rate and reconstructed by whole pixels using only the original sample points, exhibiting severe moire distortion.
- FIG. 11 depicts the image signal of FIG.
- FIG. 12 shows a set of polyphase filters that combine interpolation with subpixel rendering color correction.
- FIG. 13 depicts a flat panel display with alternative subpixel repeat cell arrangements.
- FIG. 14 shows a table of polyphase filters for implementing area resampling subpixel rendering. DETAILED DESCRIPTION [021]
- an ideal optical image reconstruction low pass filter may be used to reconstruct the original sine wave exactly; the ideal filter will reconstruct a bright or dark peak between the shoulder samples.
- an ideal filter may be constructed using the well known sine function. The sine function has both positive and negative terms. While such a filter can be implemented in the ideal world of mathematics, there is no such thing as an "ideal" optical reconstruction filter in the real world of electronic displays — since in optics, there is no such thing as "negative light”.
- FIG. 8 shows the sampled sine wave 60 being reconstructed 80 by square whole pixels 82 (in a one dimensional slice of the image, with the brightness, gray levels, shown in the second dimension). It should be noted that the sample values 66 that were taken on the shoulders of the peaks are reconstructed as broad, flat areas. This distorted image condition is what is normally found in flat panel televisions and other visual display products. It would be desirable to reduce or eliminate this moire without adding undue cost or complexity to the system. It might also " be desirable to avoid introducing unwanted artifacts such as color error or loss of image contrast.
- Aliasing occurs when a signal to be sampled has frequency components at or above the Nyquist Limit, which cause 'fold-over', creating a false signal below the Nyquist Limit.
- moire may be identified and filtered out of the sampled signal by using a proper reconstruction filter. Since an aliased signal may not be identified and filtered out after sampling, care must be taken to remove signals at or above the Nyquist Limit before sampling. This creates a "band-limited-image".
- Moire distortion occurs most strongly to real signals just below the Nyquist Limit.
- the moire amplitude increases, as a fraction of the signal amplitude, as well as wavelength increases.
- the result is a signal that looks similar to an amplitude modulated (AM) signal, the carrier frequency being the Nyquist Limit and the moire spatial frequency being the difference between the Nyquist Limit frequency and the signal being sampled.
- AM amplitude modulated
- the resulting moire signal amplitude and wavelength decrease, until the moire spatial frequency equals the signal frequency, at which point, the moire distortion amplitude modulation disappears.
- FIG. 7 shows the same original sampled sine wave signal 60 of FIG. 6, with interpolated values 76 between each original value 66. Where the original sample 66 missed the peak, the interpolated value 76 may extend to it. This reduces the moire distortion.
- the number of points that may be independently addressed to reconstruct the image is increased, without increasing the number of physical pixels in a display. This increases the spatial frequency of the Moire Limit as shown in FIG. 9. For example, when the green subpixels are reconstructing the original sample points 66 on the shoulders, " the ed subpixels are reconstructing the interpolated points near the peaks and visa-versa.
- FIG. 10 shows a representation of a band-limited image 100 being sampled 120 and reconstructed 110 without subpixel rendering. It should be noted that the resulting image 110 is both "blocky" and course. In FIG. 11, the same image 100 is being reconstructed 1100 using subpixel rendering with interpolated points 1120 between the original sample points 120.
- the improved image fidelity and reduced pixelation artifacts are also provided.
- the process of creating interpolated points between the original samples may be thought of as a form of image scaling, hi some of the examples of the present invention, the scaling ratio may be thought of as "one-to-two" or 2X scaling, as there is one interpolated point for each original point. Other 'scaling ratios' may be implemented and are envisioned within the scope of the present invention.
- Conventional interpolation e.g. linear, bi-linear, cubic, bi-cubic, sine, windowed sine, and the like
- Conventional interpolation e.g. linear, bi-linear, cubic, bi-cubic, sine, windowed sine, and the like
- scaling image data e.g.
- the following discussion is meant to exemplify the techniques of the present invention; and is not meant to limit the scope of the present invention.
- the discussion describes a display system that desires to input an image with a first resolution (e.g. VGA) and to either interpolate, duplicate, or otherwise reconstruct (e.g. via area resampling) the image data on the vertical and horizontal axes and then to subpixel render the data - so that the resulting image is at an effectively higher second resolution, in so far as that higher resolution provides additional reconstruction points, shown on a display having fewer subpixels than a conventional display with that said second resolution.
- a first resolution e.g. VGA
- reconstruct e.g. via area resampling
- the weighting values are calculated from cubic equations (e.g. blending functions) that are implemented as floating point and have traditionally been difficult to implement in hardware. But the idea of the repeat cell allows us to pre-calculate a small number of filter kernels instead.
- These filter kernels, or tables of coefficients can be stored into hardware (e.g. ROM or flash memory or the like) and used to do real-time cubic interpolation on images.
- the interpolation hardware could be implemented as a 4x4 filter kernel or any such suitably sized matrix - with the matrix coefficients matching the stored filter kernels. This is known in the art as "polyphase filtering".
- the [T 3 , T 2 , T, 1] matrix corresponds to the cubic equation - a*T 3 +b*T 2 +c*T+d*l.
- the [PI, P2, P3,P4] matrix is a list of the control points, and the 4x4 matrix in the middle is the basis matrix.
- This 4x4 matrix corresponds to the Catmul-Rom matrix and has the property that if all the matrix dot products are performed, the resulting equation will have the correct values for the implied a, b, c and d coefficients.
- Formula (3) resembles a weighted sum (average) of the four control points. For any given value of T, it will weigh each control point by a different amount before they are summed. As T ranges between 0 and 1, the result moves from P2 to P3. For example, if T is 0 the result is simply P2, if T is 1 the result is P3. For all values of T between 0 and 1, the result may not necessarily be between P2 and P3, because the cubic processing that includes surrounding points PI and P4 could make the value swoop up or down.
- FIG.l is an example of the possible curve fitting that a cubic equation might produce in the one dimensional case across a single scan line.
- the four points PI through P4 are control points, intensity values across a single scan line of an image.
- the Y direction on the graph is intensity of the subpixels (e.g. in the different color planes, such as red, green or blue).
- the T direction is along the pixels in a row.
- the exaggerated curvature between P2 and P3 shows how the cubic curve can interpolate values above and below the control points.
- one possible embodiment is to look at four rows at once and four source pixels (e.g. control points) at once.
- CM is the Catmul-Rom basis matrix
- FIG 2 A shows an example of a portion of a grid 200 of input sample points with a single repeat cell of output resample points overlaid on top of them.
- the ratio of input pixels to output pixels in this case is 2:5, which is the ratio between a 640 pixel wide image and a 1600 pixel wide image.
- This is a common ratio that a computer display system may be required to scale.
- the large black dots 202 represent the geometric centers of the input pixels. They are labeled in the same manner as the input control points in the cubic equations above.
- the small gray dots 204 represent the geometric centers of the output pixels. For clarity, only one repeat cell of output pixels are shown, but this cell is repeated over and over again in actual usage. Each repeat cell has the same relationship to nearby input sample points. It should be appreciated that other repeat cells will be found for other scaling ratios and that the general present discussion applies equally well to other scaling ratios.
- the repeat cell is aligned with the first output resample point falling exactly on an input sample point.
- Other alignments are possible, for example aligning in the middle of the space between 4 input points. Changing the alignment of the repeat cell may have desirable effects, as will be described below. However, aligning exactly at the upper left corner produces some convenient initialization values and makes the example easier to describe.
- the first output pixel in the first row of the repeat cell is exactly aligned, so the parametric T values for this position equal zero. In this case, where the input to output ratio is 2:5, the second output pixel in the first row is 2/5ths of the way between P22 and P32 and the third output pixel 4/5 ths of the way.
- the fourth output pixel is 6/5 ths of the way, which places it l/5th of the way past P32.
- This "overflow" above 1 means that it is time to advance the cubic input parameters to the right by one input column.
- the numbering scheme of input pixels may be re-done to drop the first column and include the unlabeled column on the right.
- the last output pixel in the first row is 3/5ths of the way past P32.
- the process is substantially identical for any row or any column of the repeat cell, generating values for Tx or Ty that are rational numbers between 0 and 1 but always fractions of fifths in this case.
- the filter coefficients may be, as here, multiplied by 256 (or some other value depending on the system) to make the values convenient for implementing in hardware.
- the subscripts on the M's indicate the position of the filter kernel in the repeat cell, where 0,0 indicates the upper left, 0,1 indicates the one below it in the repeat cell, etc. It is interesting to examine these kernels to get a feel for how the weighted average works.
- the one labeled Mo, 0 is the case where the output pixel lands directly on top of an input pixel so the P22 coefficient in the kernel is the only weight value and it is 256 - which is the maximum value thus, logically equivalent to multiplying by 1.0.
- FIG. 3 shows a 1:3 scaling ratio where the black dots 302 are input pixels in the center of their implied sample areas 304 and the gray dots 306 are the resample points inside their resample areas 308.
- the alignment used for the repeat cells in FIG. 2 A would look like FIG.
- the output sample points extend off the edge of the implied resample areas. It is possible to make assumptions about such situations and one assumption that may suffice in this case is that the edges that are outside the input image are black. Using this black assumption and the alignment of Figure 4, the left edge will terminate on an input pixel value but the right hand edge will fade to black. Even in the sample area alignment of Figure 3, the first and last resample points still extend past the first and last input sample point. With cubic interpolation, this might causes the edges to fade slightly towards black. That situation may be changed by using a different assumption about the areas outside the input image. For example, it could be to repeat the nearest input value for samples outside the input image.
- Figure 5 shows how it might be possible to have the resample points land, with the first and last pixels exactly aligned with the first and last input sample points: [056]
- the position of the first output pixel has been moved over by about one, and the scale factor has been changed from 5:15 (1:3) to approximately 5:17.
- the position of the first output pixel relative to the first input pixel may be changed in either software and/or hardware by initializing a remainder term to a different value. It is possible to change the scale factor by rebuilding the table, which could be accomplished off-line beforehand, and changing the constants that determine when to switch to the next input pixel. Those should be minor changes to the hardware, however, the filter table may became either larger or smaller.
- 2X Scaling Mode [060] Now, it will be described methods and systems for performing 2X scaling on input image data.
- a scaling mode is useful - as further discussed in the above related patent application - for a multi-mode display device, such as a television or monitor that can display, e.g. VGA data into an HD format.
- a display - comprising one of a number of novel subpixel layouts discussed in several of the co-owned applications incorporated by reference - may display several digital TV resolutions, as well as display regular TV resolution with an improved image reconstruction filter.
- a combination of cubic interpolation, subpixel rendering and cross-color sharpening may produce acceptable images in regular TV mode, largely free of moire.
- This set of coefficients in the filter kernel may be implemented in very simple hard coded digital logic to provide a very low cost convolution engine.
- Displaying a standard 640X480 television signal onto a panel as discussed herein - i.e. one that comprises 640 X 3 X 960 physical subpixels; but has greater image quality with subpixel rendering ⁇ may take advantage of interpolation followed by cross-color sharpened subpixel rendering to effectively scale the image to 1280 X 960 logical pixels.
- a boundary condition may be set such that the incoming image is in-phase with one of the brighter subpixels - e.g. in this case, the upper right hand corner green of the subpixel repeat group, as shown in FIG. 2.
- Another assumption that might be made is that the red and green, the brighter two of the three colors, are on a true square grid.
- one possible set of interpolation coefficients for an axis separable filter could be (as discussed above): [066]
- these numbers may be easy to implement using bit shift multiply and accumulate. To use this axis separable interpolation filter, as it scans in a row of data, a second, 2X wider row of data could be fed and stored in a line buffer.
- Half of the information might be the original data, all three colors, interleaved with the interpolated data, all three colors. Then when three rows plus two columns is filled, the data could be used to interpolate and store the missing row data, using the same filter as above, but operating in the vertical direction. Following behind by one row (in the new, expanded row count) could be a cross-color sharpening subpixel render algorithm, looking at the results of the interpolation above. Since all of those coefficients are simply binary shift multiply and accumulate, the system is kept simple and fast. The main cost is the row buffers, three instead of two. Shown below is the cross- color subpixel rendering filter.
- the first filter above, the DOG Wavelet performs the cross-color sharpening by sampling a different color than the second, Area Resample, filter (as disclosed in the incorporated applications above).
- Yet another embodiment of performing the reconstruction filter is to directly sample the data using a filter that is the convolution of the above three filtering operations.
- BiCubic interpolation for reconstruction of band limited images such as photographs and video it is sometimes desirable to use BiCubic interpolation.
- there is some probability that color error may result when directly subpixel rendering using BiCubic interpolation. Convolving the BiCubic interpolation with the Area Resampling filters for that particular subpixel architecture will substantially adjust for and/or correct this error.
- one embodiment may perform the following: [069] First, generate BiCubic filter kernel array as disclosed above. A set of polyphase kernels are thus generated, similar to the kernels of FIG. 2B. For each filter kernel, convolve each kernel with the 3X3 neighborhood by the coefficients of the diamond filter and the cross-color DOG wavelet discussed above. Then add all of the resulting values from each kernel that corresponds to the same input sample.
- convolving a 4 X 4 biCubic filter with a 3 X 3 sharpened Area Resample filter in this manner may result in a 5X5 filter kernel.
- the result may often be a smaller kernel.
- the blue subpixel may not add to the addressability of the panel to a great degree.
- the Fourier energy of the high spatial frequencies will be low. Therefore, for correct color imaging in the above system, it may be desirable to determine the value of the blue subpixel by the convolution of the blue values taken at the same points as the red/green checkerboard and the blue subpixel rendering filter, such as a 1X2 box filter for the six subpixel repeat cell 1312 in Figure 13 or a 2X2 box filter for the five subpixel repeat cell 1322, or the 1X3 tent filter for the eight subpixel repeat cell 1326 . [071] In this example, several interpolation filters are used in the convolution with the subpixel rendering color correction filter.
- the above numbers are to be divided by 256.
- the above 4 X 4 filter kernel is generated by convolving the 4 X 1 first filter shown earlier with the same coefficients in the 1 X 4 second filter.
- the result of the convolution of the Diamond filter, Cross-Color DOG wavelet, and the interpolation filters is shown in Figure 12.
- An alternative 4 X 4 filter that will result in sharper images, which we shall call a "box-cubic" filter is: 0 -8 -8 0 -8 80 80 -8 -8 80 80 -8 0 -8 -8 0
- One-to-One Image Reconstruction The eight subpixel repeat cell arrangements 1324 & 1325 which have four green, two red, and two blue subpixels per repeat cell 1324 & 1325 of FIG. 13 may be mapped one-to- one; one-input-pixel-to-one-green-subpixel and still have reduced moire distortion by interpolating the values of the intermediate reconstruction points at the red and blue subpixels.
- One of the subpixel repeat cell arrangements 1324 has the red and green subpixel in line with the green subpixel rows.
- the blue and red subpixels may be filtered with a very simple 2 X 1 box filter: Vi, Vi .
- This also can be viewed as being a linear interpolation between the two original sample points collocated at the green subpixels.
- the box filter may be replaced with the simple 4 X 1 cubic filter discussed above: -V 16 , 9 / 16 , 9 / 16 , -V 16 . This may reduce the moire in the horizontal direction.
- the other eight subpixel repeat cell arrangement 1325 has the red and blue subpixels displaced to the interstitial position in both axis.
- the red and blue subpixels may be filtered between the four original sample points collocated at the green subpixels using a simple 2 X 2 box filter: [077]
- This likewise may be viewed as a being a linear interpolation between the four original sample points collocated at the green subpixels.
- the box filter may be replaced with the simple 4 X 4 "box-cubic" filter discussed above: [078] This interpolation will reduce the moire distortion in all axis, while still maintaining color balance and image contrast.
- the simple axis separable bicubic interpolation algorithm either as a 4 X 4 or separated into two operations, as discussed above, may be used.
- the six subpixel repeat cell arrangement 1320 with one blue and one white that are in line with the red/green rows may be color correct subpixel rendered using a 2 X 3 'box-tent' filter on the blue and white subpixels: 0.125 0.125 0.25 0.25 0.125 0.125 [081]
- the box-tent filter may be replaced with a 4 X 3 "tent-cubic" filter to reduce the moire distortion:
- RGBW architecture e.g. 852 X 3 X 960
- RGBW architecture e.g. 852 X 3 X 960
- This system may take advantage of interpolation, followed by luminance sharpened subpixel rendering to effectively "scale” the image to another resolution (e.g. 1704 X 960) on the red/green grid and interpolate or start with an intermediate reconstruction point between the red/green points using the white and possibly the blue subpixels.
- RGBW panels require a multiprimary mapping of the input data.
- the data may come in several standard video formats, but the most common would be RGB. This color data should be converted to RGBW.
- a luminance signal may be generated. This luminance signal may be used by the image reconstruction filter to sharpen up the color image components.
- the multiprimary mapping algorithm may output RGBWL data.
- One possible interpolation performed on the data could be a Catmul-Rom algorithm.
- a boundary condition is set such that the incoming image is in-phase with one of the subpixels, in this case we will use the lower white subpixel.
- white the brightest
- Using the brightest subpixel as the in-phase point may create the least interpolation artifacts on the resulting image.
- one embodiment of the interpolation coefficients for an axis separable filter to interpolate the raw values for the red/green checkerboard grid might be: - ie , 9 /i6 , 9 /i6 j - ie for the vertical interpolation and - 18 /2 5 6 , 198 /256 > 85 25 6 , - 9 /256 and its mirror image for the horizontal interpolation.
- a second, row of vertically interpolated data is fed and stored in a line buffer for the interpolated row, two final rows above (e.g. behind).
- the full RGBWL data is to be interpolated.
- Horizontal interpolation may be performed on the in-phase rows as soon as the data comes in, while it may be desirable to perform horizontal interpolation on the out-of-phase rows after vertical interpolation. Alternatively, the horizontal interpolation may be performed first, which may save on the number of the more complex multiplications, followed by the simpler to implement vertical interpolation. [086] After the RGBL or RGBWL data has been interpolated, the blue and white plane data are complete.
- the red and green data may be subpixel rendered, color error correction filtered using the diamond filter with the addition of a luminance driven "cross-color" sharpening operation, as shown above.
- the sharpening on the red and green subpixel values may be performed by the cross-color DOG wavelet as described earlier.
- An alternative image reconstruction algorithm may be used on the RGBW six subpixel repeat cell arrangement 1320, or with the alternative, non-rectangular six subpixel repeat cell 1323 of Figure 3.
- the values for the other green and the two reds may be found using the same convenient interpolation as above.
- the white and the blue subpixel values may also be found using interpolation using the 4 X 1 and 1 X 4 axis separable bicubic filter in a like manner as that described above, as the phase relationships remain the same.
- the additional white subpixel means that there are five substantially bright subpixels per repeat cell.
- what appears to be a "down-scaling" factor of 9:8 for the red/green grid may alternatively be viewed as a 9:12 "upscaling" ratio when including the white subpixel as an addition reconstruction point.
- the addition of the white subpixel and its use as a reconstruction point allows higher resolution images to be displayed without aliasing and with reduced moire. While the blue subpixels have limited luminance, they do have some.
- this ratio may be viewed as being nine-to-sixteen (9:16), which being close to the minimum desired nine-to-eighteen (9:18), would nearly eliminate any moire distortion.
- the tables and other instructions below are designed for scaling 1920 X 1080 RGBW images to displays comprising certain subpixel layouts as disclosed in the incorporated co- assigned patent applications above. These layouts may comprise a certain number of physical subpixel repeat cell arrangements (e.g. 852x480) on the display; but, because of certain subpixel rendering algorithms, the display may render images at a higher resolution (e.g. 1704x960 "logical" pixels).
- the red and green sub-pixels resample points may be considered, or assumed, to be substantially evenly distributed on a square grid, so that regular "diamond" area resample filters may be used.
- area resampling offers the advantage of a 3 X 3 filter kernel that performs interpolation and subpixel rendering color correction in one pass. Since this is a "down-scaling" operation onto the red/green grid, there will be more reconstruction points than sample points.
- FIG. 14 lists a complete set of filter kernels for this example.
- the next filter horizontally for each output pixel is employed, but it is possible to step through the input pixels in a slightly faster order by skipping one out of every 9 input addresses.
- the stepping rate may be either pre-calculated and stored to be used during image rendering or the stepping rate may be dynamically calculated during image rendering.
- a digital differential analyzer may be employed to generate such data.
- the input pixel number is the index to the center pixel for the filter kernel.
- the interpolated bright white subpixel will reconstruct the peak or valley.
- certain interpolations are separable - e.g. the Catmul-Rom cubic interpolation.
- the horizontal cubic interpolation could employ 4 multipliers
- the vertical cubic interpolation could employ 4 multipliers, for a total of only 8.
- the horizontal cubic interpolation will have four different 4x1 filter kernels for all the positions across a repeat cell. Unlike scaling with area resampling, the horizontal cubic interpolation is identical on each line, so the table of filter coefficients is only one row and the same filters are used on each row of white pixels. These filter kernels are designed to be divided by 256.
- Table 7 [0104] Usually, the stepping tables describe where the center of the filter kernel is designed to go, but cubic filters are always 4 across or 4 tall, with no center. Instead of showing the center, Table 8 shows the index in the step tables where the first coefficient is supposed to be aligned.
- Table 8 [0105] On the first white output pixel with index 0, the index of the first input pixel would be — 1, meaning that the filter "hangs off the left edge of the screen by one input pixel. Table 8 shows an extra column with one step into the next repeat cell, so the next input pixel index can be seen. It should be noted that this one is equal to the first one modulo 9. [0106] In the vertical direction (as shown in Table 9), the cubic scaling filters may land at different phase offsets, and a different filter kernel and step table may suffice as shown in Table 10.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
- Editing Of Facsimile Originals (AREA)
- Image Generation (AREA)
- Control Of Indicators Other Than Cathode Ray Tubes (AREA)
- Transforming Electric Information Into Light Information (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020117006495A KR101119169B1 (en) | 2003-10-28 | 2004-10-20 | Method for converting source image data for displaying image |
EP04795876A EP1678702B1 (en) | 2003-10-28 | 2004-10-20 | System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display |
JP2006538096A JP5311741B2 (en) | 2003-10-28 | 2004-10-20 | System and method for performing image reconstruction and sub-pixel rendering to perform scaling for multi-mode displays |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/696,026 US7525526B2 (en) | 2003-10-28 | 2003-10-28 | System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display |
US10/696,026 | 2003-10-28 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2005045757A2 true WO2005045757A2 (en) | 2005-05-19 |
WO2005045757A3 WO2005045757A3 (en) | 2005-08-18 |
Family
ID=34522860
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2004/034773 WO2005045757A2 (en) | 2003-10-28 | 2004-10-20 | System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display |
Country Status (6)
Country | Link |
---|---|
US (1) | US7525526B2 (en) |
EP (1) | EP1678702B1 (en) |
JP (2) | JP5311741B2 (en) |
KR (2) | KR101119169B1 (en) |
CN (4) | CN101339729B (en) |
WO (1) | WO2005045757A2 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8184126B2 (en) | 2005-11-09 | 2012-05-22 | Chimei Innolux Corporation | Method and apparatus processing pixel signals for driving a display and a display using the same |
Families Citing this family (82)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040196302A1 (en) * | 2003-03-04 | 2004-10-07 | Im Moon Hwan | Systems and methods for temporal subpixel rendering of image data |
US7969448B2 (en) * | 2003-11-20 | 2011-06-28 | Samsung Electronics Co., Ltd. | Apparatus and method of converting image signal for six color display device, and six color display device having optimum subpixel arrangement |
WO2005054937A1 (en) * | 2003-12-03 | 2005-06-16 | Samsung Electronics Co., Ltd. | Display device |
JP2005244440A (en) * | 2004-02-25 | 2005-09-08 | Matsushita Electric Ind Co Ltd | Imaging apparatus, and imaging method |
US7248268B2 (en) * | 2004-04-09 | 2007-07-24 | Clairvoyante, Inc | Subpixel rendering filters for high brightness subpixel layouts |
US7688337B2 (en) * | 2004-05-21 | 2010-03-30 | Broadcom Corporation | System and method for reducing image scaling complexity with flexible scaling factors |
KR100611179B1 (en) * | 2004-06-23 | 2006-08-10 | 삼성전자주식회사 | Image interpolation apparatus |
US20080170083A1 (en) * | 2005-04-04 | 2008-07-17 | Clairvoyante, Inc | Efficient Memory Structure for Display System with Novel Subpixel Structures |
CN101176108B (en) | 2005-05-20 | 2010-09-29 | 三星电子株式会社 | Multiprimary color subpixel rendering with metameric filtering |
JP5066327B2 (en) * | 2005-06-28 | 2012-11-07 | 株式会社ジャパンディスプレイイースト | Liquid crystal display |
KR101182771B1 (en) * | 2005-09-23 | 2012-09-14 | 삼성전자주식회사 | Liquid crystal display panel and method of driving the same and liquid crystal display apparatus using the same |
EP2472506B1 (en) | 2005-10-14 | 2015-12-16 | Samsung Display Co., Ltd. | Improved gamut mapping and subpixel rendering systems and methods |
US7483037B2 (en) * | 2005-10-27 | 2009-01-27 | Apple, Inc. | Resampling chroma video using a programmable graphics processing unit to provide improved color rendering |
US20070097146A1 (en) * | 2005-10-27 | 2007-05-03 | Apple Computer, Inc. | Resampling selected colors of video information using a programmable graphics processing unit to provide improved color rendering on LCD displays |
JP4613805B2 (en) * | 2005-11-24 | 2011-01-19 | ソニー株式会社 | Image display device, image display method, program for image display method, and recording medium recording program for image display method |
US7742205B2 (en) * | 2005-12-16 | 2010-06-22 | Vp Assets Limited Registered In British Virgin Islands | Perceptual color matching method between two different polychromatic displays |
KR101196860B1 (en) * | 2006-01-13 | 2012-11-01 | 삼성디스플레이 주식회사 | Liquid crystal display |
KR101152455B1 (en) | 2006-04-05 | 2012-06-01 | 엘지디스플레이 주식회사 | Apparatus and method for sub-pixel rendering of image display device |
EP2038734A4 (en) | 2006-06-02 | 2009-09-09 | Samsung Electronics Co Ltd | High dynamic contrast display system having multiple segmented backlight |
US8018476B2 (en) | 2006-08-28 | 2011-09-13 | Samsung Electronics Co., Ltd. | Subpixel layouts for high brightness displays and systems |
US7876341B2 (en) * | 2006-08-28 | 2011-01-25 | Samsung Electronics Co., Ltd. | Subpixel layouts for high brightness displays and systems |
US7873233B2 (en) * | 2006-10-17 | 2011-01-18 | Seiko Epson Corporation | Method and apparatus for rendering an image impinging upon a non-planar surface |
JP2008270936A (en) * | 2007-04-17 | 2008-11-06 | Nec Electronics Corp | Image output device and image display device |
WO2008153003A1 (en) * | 2007-06-14 | 2008-12-18 | Sharp Kabushiki Kaisha | Display device |
US7567370B2 (en) * | 2007-07-26 | 2009-07-28 | Hewlett-Packard Development Company, L.P. | Color display having layer dependent spatial resolution and related method |
JP2009081812A (en) * | 2007-09-27 | 2009-04-16 | Nec Electronics Corp | Signal processing apparatus and method |
US8295594B2 (en) | 2007-10-09 | 2012-10-23 | Samsung Display Co., Ltd. | Systems and methods for selective handling of out-of-gamut color conversions |
JP2010210704A (en) * | 2009-03-06 | 2010-09-24 | Sanyo Electric Co Ltd | Image display apparatus |
WO2011130715A2 (en) | 2010-04-16 | 2011-10-20 | Flex Lighting Ii, Llc | Illumination device comprising a film-based lightguide |
CA2796515C (en) | 2010-04-16 | 2020-05-12 | Flex Lighting Ii, Llc | Front illumination device comprising a film-based lightguide |
KR101332495B1 (en) * | 2010-05-20 | 2013-11-26 | 엘지디스플레이 주식회사 | Image Porcessing Method And Display Device Using The Same |
KR20110129531A (en) | 2010-05-26 | 2011-12-02 | 삼성모바일디스플레이주식회사 | Pixel array for organic light emitting display device |
KR101189025B1 (en) * | 2010-05-31 | 2012-10-08 | 삼성디스플레이 주식회사 | Pixel Array for Organic Light Emitting Display Device |
EP2544145B1 (en) | 2011-07-06 | 2018-09-12 | Brandenburgische Technische Universität Cottbus-Senftenberg | Method, arrangement, computer programm and computer-readable storage medium for scaling two-dimensional structures |
CN102270109B (en) * | 2011-08-23 | 2014-04-02 | 上海网达软件股份有限公司 | Self-converting method and system for user interfaces with different resolutions |
US9520101B2 (en) * | 2011-08-31 | 2016-12-13 | Microsoft Technology Licensing, Llc | Image rendering filter creation |
WO2013088353A2 (en) * | 2011-12-15 | 2013-06-20 | Koninklijke Philips Electronics N.V. | Medical imaging reconstruction optimized for recipient |
JP6035940B2 (en) * | 2012-07-23 | 2016-11-30 | セイコーエプソン株式会社 | Image processing apparatus, display apparatus, and image processing method |
KR102063973B1 (en) | 2012-09-12 | 2020-01-09 | 삼성디스플레이 주식회사 | Organic Light Emitting Display Device and Driving Method Thereof |
US20140204008A1 (en) * | 2013-01-24 | 2014-07-24 | Au Optionics Corporation | Pixel and sub-pixel arrangement in a display panel |
US9424624B2 (en) * | 2013-04-08 | 2016-08-23 | Broadcom Corporation | System and method for graphics upscaling |
US9990935B2 (en) | 2013-09-12 | 2018-06-05 | Dolby Laboratories Licensing Corporation | System aspects of an audio codec |
US9741095B2 (en) * | 2014-01-29 | 2017-08-22 | Raytheon Company | Method for electronic zoom with sub-pixel offset |
TWI492187B (en) * | 2014-02-17 | 2015-07-11 | Delta Electronics Inc | Method and device for processing a super-resolution image |
CN103903549B (en) * | 2014-03-25 | 2016-08-17 | 京东方科技集团股份有限公司 | Display packing |
CN104240195B (en) * | 2014-08-20 | 2017-01-18 | 京东方科技集团股份有限公司 | Model establishing method and system based on virtual algorithm |
KR102293344B1 (en) | 2014-10-31 | 2021-08-26 | 삼성디스플레이 주식회사 | Display apparatus |
KR20160083325A (en) | 2014-12-30 | 2016-07-12 | 삼성디스플레이 주식회사 | Display apparatus and method of processing data thereof |
CN104537974B (en) * | 2015-01-04 | 2017-04-05 | 京东方科技集团股份有限公司 | Data acquisition submodule and method, data processing unit, system and display device |
CN104574277A (en) * | 2015-01-30 | 2015-04-29 | 京东方科技集团股份有限公司 | Image interpolation method and image interpolation device |
US9842381B2 (en) | 2015-06-12 | 2017-12-12 | Gopro, Inc. | Global tone mapping |
US10530995B2 (en) | 2015-06-12 | 2020-01-07 | Gopro, Inc. | Global tone mapping |
WO2016200480A1 (en) * | 2015-06-12 | 2016-12-15 | Gopro, Inc. | Color filter array scaler |
KR102410029B1 (en) * | 2015-08-24 | 2022-06-20 | 삼성디스플레이 주식회사 | Timing controller and display apparatus having them |
CN105185288A (en) | 2015-08-28 | 2015-12-23 | 京东方科技集团股份有限公司 | Pixel array, display driving unit, driving method and display device |
TWI560647B (en) * | 2015-09-16 | 2016-12-01 | Au Optronics Corp | Displaying method and display panel utilizing the same |
WO2017056080A1 (en) | 2015-10-02 | 2017-04-06 | Pure Depth Limited | Method and system using refractive beam mapper to reduce moiré interference in a display system including multiple displays |
JP2019502962A (en) | 2015-10-02 | 2019-01-31 | ピュア・デプス・リミテッド | Method and system for implementing color filter offset to reduce moire interference in a display system including multiple displays |
MX2018004030A (en) | 2015-10-02 | 2018-08-16 | Pure Depth Ltd | Method and system for performing sub-pixel compression in order to reduce moirã interference in a display system including multiple displays. |
KR102447506B1 (en) * | 2016-01-05 | 2022-09-27 | 삼성디스플레이 주식회사 | Method and apparatus for controlling display apparatus |
CN111326121B (en) | 2018-12-13 | 2021-11-16 | 京东方科技集团股份有限公司 | Driving method, driving chip, display device and storage medium |
CN110137213A (en) | 2018-02-09 | 2019-08-16 | 京东方科技集团股份有限公司 | Pixel arrangement structure and its display methods, display base plate |
US11448807B2 (en) | 2016-02-18 | 2022-09-20 | Chengdu Boe Optoelectronics Technology Co., Ltd. | Display substrate, fine metal mask set and manufacturing method thereof |
US11233096B2 (en) | 2016-02-18 | 2022-01-25 | Boe Technology Group Co., Ltd. | Pixel arrangement structure and driving method thereof, display substrate and display device |
US11264430B2 (en) | 2016-02-18 | 2022-03-01 | Chengdu Boe Optoelectronics Technology Co., Ltd. | Pixel arrangement structure with misaligned repeating units, display substrate, display apparatus and method of fabrication thereof |
US11747531B2 (en) | 2016-02-18 | 2023-09-05 | Chengdu Boe Optoelectronics Technology Co., Ltd. | Display substrate, fine metal mask set and manufacturing method thereof |
KR102553236B1 (en) * | 2016-09-09 | 2023-07-11 | 삼성디스플레이 주식회사 | Display Device and Driving Method Thereof |
KR102597231B1 (en) * | 2016-09-30 | 2023-11-03 | 삼성디스플레이 주식회사 | Image processing device, display device, and head mounted display device |
TWI606275B (en) | 2016-12-29 | 2017-11-21 | 友達光電股份有限公司 | Pixel matrix and display method thereof |
KR102042893B1 (en) * | 2017-08-22 | 2019-11-11 | 박순익 | Rendering device of image displaying system |
KR102407932B1 (en) * | 2017-10-18 | 2022-06-14 | 삼성디스플레이 주식회사 | Image processor, display device having the same, and method of driving display device |
CN113990912A (en) * | 2018-02-09 | 2022-01-28 | 京东方科技集团股份有限公司 | Pixel arrangement structure, display substrate and display device |
CN118605055A (en) | 2018-02-09 | 2024-09-06 | 京东方科技集团股份有限公司 | Display substrate and display device |
US11574960B2 (en) | 2018-02-09 | 2023-02-07 | Boe Technology Group Co., Ltd. | Pixel arrangement structure, display substrate, display device and mask plate group |
KR102553146B1 (en) | 2018-09-13 | 2023-07-07 | 삼성전자주식회사 | Image processing apparatus and operating method for the same |
TWI694434B (en) * | 2019-04-02 | 2020-05-21 | 友達光電股份有限公司 | Adjustment method of display apparatus with dual cells |
AU2019279968C1 (en) | 2019-07-31 | 2021-10-28 | Boe Technology Group Co., Ltd. | Display substrate and preparation method thereof, display panel, and display device |
CN110580880B (en) * | 2019-09-26 | 2022-01-25 | 晟合微电子(肇庆)有限公司 | RGB (red, green and blue) triangular sub-pixel layout-based sub-pixel rendering method and system and display device |
CN110945582B (en) * | 2019-10-31 | 2022-03-04 | 北京集创北方科技股份有限公司 | Sub-pixel rendering method, driving chip and display device |
CN111461991B (en) * | 2020-04-09 | 2022-04-26 | 武汉联影医疗科技有限公司 | Image drawing method, image drawing device, computer equipment and storage medium |
CN112270738B (en) * | 2020-11-16 | 2024-01-26 | 上海通途半导体科技有限公司 | Self-adaptive sub-pixel rendering method and device |
CN116863861B (en) * | 2023-09-05 | 2023-11-24 | 欣瑞华微电子(上海)有限公司 | Image processing method and device based on non-explicit point judgment and readable storage medium |
Family Cites Families (180)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US654653A (en) * | 1900-04-28 | 1900-07-31 | O T Gregory | Trace-holder. |
US3971065A (en) | 1975-03-05 | 1976-07-20 | Eastman Kodak Company | Color imaging array |
NL7903515A (en) | 1979-05-04 | 1980-11-06 | Philips Nv | MODULATOR CIRCUIT FOR A MATRIX DISPLAY DEVICE. |
JPS59111196A (en) * | 1982-12-15 | 1984-06-27 | シチズン時計株式会社 | Color display unit |
US4651148A (en) * | 1983-09-08 | 1987-03-17 | Sharp Kabushiki Kaisha | Liquid crystal display driving with switching transistors |
US4737843A (en) * | 1984-04-09 | 1988-04-12 | Raytheon Company | Color image display system for producing and combining four color component images each inverted in at least one aspect relative to the other images |
JPS60218627A (en) * | 1984-04-13 | 1985-11-01 | Sharp Corp | Color liquid crystal display device |
JPS61143787A (en) | 1984-12-17 | 1986-07-01 | キヤノン株式会社 | Color display panel |
FR2582130B1 (en) | 1985-05-20 | 1987-08-14 | Menn Roger | TRICHROME ELECTROLUMINESCENT MATRIX SCREEN AND MANUFACTURING METHOD |
US5189404A (en) | 1986-06-18 | 1993-02-23 | Hitachi, Ltd. | Display apparatus with rotatable display screen |
US4751535A (en) * | 1986-10-15 | 1988-06-14 | Xerox Corporation | Color-matched printing |
US4800375A (en) * | 1986-10-24 | 1989-01-24 | Honeywell Inc. | Four color repetitive sequence matrix array for flat panel displays |
JPH0627985B2 (en) | 1987-05-06 | 1994-04-13 | 日本電気株式会社 | Thin film transistor array |
US4920409A (en) * | 1987-06-23 | 1990-04-24 | Casio Computer Co., Ltd. | Matrix type color liquid crystal display device |
JPS6459318A (en) | 1987-08-18 | 1989-03-07 | Ibm | Color liquid crystal display device and manufacture thereof |
EP0313332B1 (en) | 1987-10-22 | 1994-12-14 | Rockwell International Corporation | Method and apparatus for drawing high quality lines on color matrix displays |
US4853592A (en) | 1988-03-10 | 1989-08-01 | Rockwell International Corporation | Flat panel display having pixel spacing and luminance levels providing high resolution |
US5341153A (en) | 1988-06-13 | 1994-08-23 | International Business Machines Corporation | Method of and apparatus for displaying a multicolor image |
JP2584490B2 (en) * | 1988-06-13 | 1997-02-26 | 三菱電機株式会社 | Matrix type liquid crystal display |
US4886343A (en) | 1988-06-20 | 1989-12-12 | Honeywell Inc. | Apparatus and method for additive/subtractive pixel arrangement in color mosaic displays |
US5062057A (en) | 1988-12-09 | 1991-10-29 | E-Machines Incorporated | Computer display controller with reconfigurable frame buffer memory |
US4966441A (en) | 1989-03-28 | 1990-10-30 | In Focus Systems, Inc. | Hybrid color display system |
US4967264A (en) | 1989-05-30 | 1990-10-30 | Eastman Kodak Company | Color sequential optical offset image sampling system |
JPH0341416A (en) | 1989-07-07 | 1991-02-21 | Fuji Photo Film Co Ltd | Color liquid crystal shutter matrix |
CA2020784C (en) * | 1989-07-11 | 1994-08-23 | Horoshi Shimizu | Fault locating system capable of quickly locating a fault in a hierarchical communication network |
DE69033411T2 (en) * | 1989-09-05 | 2008-10-09 | Canon K.K. | Color coding |
US5010413A (en) * | 1989-10-10 | 1991-04-23 | Imtech International, Inc. | Method and apparatus for displaying an enlarged image on multiple monitors to form a composite image |
JPH03201788A (en) | 1989-12-28 | 1991-09-03 | Nippon Philips Kk | Color display device |
US5477240A (en) | 1990-04-11 | 1995-12-19 | Q-Co Industries, Inc. | Character scrolling method and apparatus |
JPH0497126A (en) | 1990-08-16 | 1992-03-30 | Internatl Business Mach Corp <Ibm> | Liquid crystal display unit |
US5196924A (en) * | 1991-07-22 | 1993-03-23 | International Business Machines, Corporation | Look-up table based gamma and inverse gamma correction for high-resolution frame buffers |
US5448652A (en) | 1991-09-27 | 1995-09-05 | E. I. Du Pont De Nemours And Company | Adaptive display system |
JPH05241551A (en) | 1991-11-07 | 1993-09-21 | Canon Inc | Image processor |
GB9124444D0 (en) | 1991-11-18 | 1992-01-08 | Black Box Vision Limited | Display device |
US5416890A (en) * | 1991-12-11 | 1995-05-16 | Xerox Corporation | Graphical user interface for controlling color gamut clipping |
US5579027A (en) | 1992-01-31 | 1996-11-26 | Canon Kabushiki Kaisha | Method of driving image display apparatus |
US5315418A (en) * | 1992-06-17 | 1994-05-24 | Xerox Corporation | Two path liquid crystal light valve color display with light coupling lens array disposed along the red-green light path |
JP3402661B2 (en) * | 1992-07-06 | 2003-05-06 | キヤノン株式会社 | Cantilever probe and information processing apparatus using the same |
US5311337A (en) * | 1992-09-23 | 1994-05-10 | Honeywell Inc. | Color mosaic matrix display having expanded or reduced hexagonal dot pattern |
US5438649A (en) | 1992-10-05 | 1995-08-01 | Canon Information Systems, Inc. | Color printing method and apparatus which compensates for Abney effect |
EP0606993B1 (en) * | 1993-01-11 | 2002-07-24 | Canon Kabushiki Kaisha | Colour gamut clipping |
JPH06286195A (en) * | 1993-04-02 | 1994-10-11 | Rohm Co Ltd | Controller for thermal head |
FR2703814B1 (en) | 1993-04-08 | 1995-07-07 | Sagem | COLOR MATRIX DISPLAY. |
JP3524122B2 (en) | 1993-05-25 | 2004-05-10 | キヤノン株式会社 | Display control device |
US5541653A (en) | 1993-07-27 | 1996-07-30 | Sri International | Method and appartus for increasing resolution of digital color images using correlated decoding |
US5398066A (en) | 1993-07-27 | 1995-03-14 | Sri International | Method and apparatus for compression and decompression of digital color images |
US5485293A (en) * | 1993-09-29 | 1996-01-16 | Honeywell Inc. | Liquid crystal display including color triads with split pixels |
US6714212B1 (en) * | 1993-10-05 | 2004-03-30 | Canon Kabushiki Kaisha | Display apparatus |
JP2639323B2 (en) * | 1993-11-29 | 1997-08-13 | 日本電気株式会社 | Image magnifier |
AUPM440994A0 (en) | 1994-03-11 | 1994-04-14 | Canon Information Systems Research Australia Pty Ltd | A luminance weighted discrete level display |
JPH089172A (en) * | 1994-06-15 | 1996-01-12 | Fuji Xerox Co Ltd | Color image processing unit |
US6545653B1 (en) * | 1994-07-14 | 2003-04-08 | Matsushita Electric Industrial Co., Ltd. | Method and device for displaying image signals and viewfinder |
US5450216A (en) | 1994-08-12 | 1995-09-12 | International Business Machines Corporation | Color image gamut-mapping system with chroma enhancement at human-insensitive spatial frequencies |
US5671298A (en) * | 1994-08-30 | 1997-09-23 | Texas Instruments Incorporated | Image scaling using cubic filters |
US5710827A (en) * | 1994-09-19 | 1998-01-20 | Hewlett-Packard Company | Halftone dither cell with integrated preferred color matching |
DE69516797D1 (en) * | 1994-10-20 | 2000-06-15 | Canon Kk | Device and method for controlling a ferroelectric liquid crystal display device |
US6243055B1 (en) * | 1994-10-25 | 2001-06-05 | James L. Fergason | Optical display system and method with optical shifting of pixel position including conversion of pixel layout to form delta to stripe pattern by time base multiplexing |
US5642176A (en) * | 1994-11-28 | 1997-06-24 | Canon Kabushiki Kaisha | Color filter substrate and liquid crystal display device |
JP2726631B2 (en) | 1994-12-14 | 1998-03-11 | インターナショナル・ビジネス・マシーンズ・コーポレイション | LCD display method |
JP3190220B2 (en) * | 1994-12-20 | 2001-07-23 | シャープ株式会社 | Imaging device |
JPH11505687A (en) * | 1995-05-02 | 1999-05-21 | インノビジョン リミティッド | Motion compensation filtering |
US5739802A (en) * | 1995-05-24 | 1998-04-14 | Rockwell International | Staged active matrix liquid crystal display with separated backplane conductors and method of using the same |
US6005582A (en) * | 1995-08-04 | 1999-12-21 | Microsoft Corporation | Method and system for texture mapping images with anisotropic filtering |
JPH0998298A (en) | 1995-09-29 | 1997-04-08 | Sony Corp | Color area compression method and device |
US5701283A (en) * | 1995-11-15 | 1997-12-23 | Zen Research N.V. | Method and apparatus for high speed optical storage device |
JP3155996B2 (en) | 1995-12-12 | 2001-04-16 | アルプス電気株式会社 | Color liquid crystal display |
US6044170A (en) * | 1996-03-21 | 2000-03-28 | Real-Time Geometry Corporation | System and method for rapid shape digitizing and adaptive mesh generation |
JPH1010546A (en) * | 1996-06-19 | 1998-01-16 | Furon Tec:Kk | Display device and its driving method |
US6075905A (en) * | 1996-07-17 | 2000-06-13 | Sarnoff Corporation | Method and apparatus for mosaic image construction |
US5815101A (en) | 1996-08-02 | 1998-09-29 | Fonte; Gerard C. A. | Method and system for removing and/or measuring aliased signals |
US5899550A (en) * | 1996-08-26 | 1999-05-04 | Canon Kabushiki Kaisha | Display device having different arrangements of larger and smaller sub-color pixels |
KR100275681B1 (en) | 1996-08-28 | 2000-12-15 | 윤종용 | Apparatus for changing rcc table by extracting histogram |
US6236783B1 (en) * | 1996-09-06 | 2001-05-22 | Kanagawa Academy Of Science And Technology | Optical fiber probe and manufacturing method therefor |
TW417074B (en) | 1996-09-06 | 2001-01-01 | Matsushita Electric Ind Co Ltd | Display device |
US6049626A (en) * | 1996-10-09 | 2000-04-11 | Samsung Electronics Co., Ltd. | Image enhancing method and circuit using mean separate/quantized mean separate histogram equalization and color compensation |
JPH10126802A (en) * | 1996-10-16 | 1998-05-15 | Mitsubishi Electric Corp | Color image display device and method |
JP3763136B2 (en) * | 1996-12-27 | 2006-04-05 | ソニー株式会社 | Drawing method and drawing apparatus |
US6148117A (en) * | 1996-12-27 | 2000-11-14 | Hewlett-Packard Company | Image processing system with alterable local convolution kernel |
US5739867A (en) | 1997-02-24 | 1998-04-14 | Paradise Electronics, Inc. | Method and apparatus for upscaling an image in both horizontal and vertical directions |
US5917556A (en) * | 1997-03-19 | 1999-06-29 | Eastman Kodak Company | Split white balance processing of a color image |
JPH10319911A (en) | 1997-05-15 | 1998-12-04 | Matsushita Electric Ind Co Ltd | Led display device and control method therefor |
US6054832A (en) * | 1997-05-30 | 2000-04-25 | Texas Instruments Incorporated | Electronically programmable color wheel |
KR100242443B1 (en) | 1997-06-16 | 2000-02-01 | 윤종용 | Liquid crystal panel for dot inversion driving and liquid crystal display device using the same |
US6038031A (en) * | 1997-07-28 | 2000-03-14 | 3Dlabs, Ltd | 3D graphics object copying with reduced edge artifacts |
KR100435257B1 (en) * | 1997-08-07 | 2004-07-16 | 삼성전자주식회사 | Image format converting device and method in video signal processing system, particularly concerned with obtaining a high-quality converted image |
JP3542504B2 (en) | 1997-08-28 | 2004-07-14 | キヤノン株式会社 | Color display |
US6801594B1 (en) * | 1997-11-26 | 2004-10-05 | General Electric Company | Computed tomography fluoroscopy system |
JPH11160926A (en) * | 1997-12-01 | 1999-06-18 | Matsushita Electric Ind Co Ltd | Image forming device |
US6348929B1 (en) * | 1998-01-16 | 2002-02-19 | Intel Corporation | Scaling algorithm and architecture for integer scaling in video |
JPH11313219A (en) | 1998-01-20 | 1999-11-09 | Fujitsu Ltd | Color data conversion method |
US6151001A (en) | 1998-01-30 | 2000-11-21 | Electro Plasma, Inc. | Method and apparatus for minimizing false image artifacts in a digitally controlled display monitor |
US5973664A (en) | 1998-03-19 | 1999-10-26 | Portrait Displays, Inc. | Parameterized image orientation for computer displays |
JPH11275377A (en) * | 1998-03-25 | 1999-10-08 | Fujitsu Ltd | Method and device for converting color data |
GB2336930B (en) | 1998-04-29 | 2002-05-08 | Sharp Kk | Light modulating devices |
JP2000013814A (en) | 1998-06-19 | 2000-01-14 | Pioneer Electron Corp | Video signal processing circuit |
US6674430B1 (en) * | 1998-07-16 | 2004-01-06 | The Research Foundation Of State University Of New York | Apparatus and method for real-time volume processing and universal 3D rendering |
US6340994B1 (en) * | 1998-08-12 | 2002-01-22 | Pixonics, Llc | System and method for using temporal gamma and reverse super-resolution to process images for use in digital display systems |
US6236390B1 (en) * | 1998-10-07 | 2001-05-22 | Microsoft Corporation | Methods and apparatus for positioning displayed characters |
EP2439730A1 (en) * | 1998-10-07 | 2012-04-11 | Microsoft Corporation | Independent mapping of portions of color image data to pixel sub-components |
US6396505B1 (en) * | 1998-10-07 | 2002-05-28 | Microsoft Corporation | Methods and apparatus for detecting and reducing color errors in images |
US6278434B1 (en) | 1998-10-07 | 2001-08-21 | Microsoft Corporation | Non-square scaling of image data to be mapped to pixel sub-components |
US6188385B1 (en) * | 1998-10-07 | 2001-02-13 | Microsoft Corporation | Method and apparatus for displaying images such as text |
ATE267439T1 (en) * | 1998-11-09 | 2004-06-15 | Broadcom Corp | DISPLAY SYSTEM FOR MIXING GRAPHIC DATA AND VIDEO DATA |
AUPP779998A0 (en) * | 1998-12-18 | 1999-01-21 | Canon Kabushiki Kaisha | Continuous kernel image interpolation |
AUPP779898A0 (en) * | 1998-12-18 | 1999-01-21 | Canon Kabushiki Kaisha | A method of kernel selection for image interpolation |
AUPP780298A0 (en) * | 1998-12-18 | 1999-01-21 | Canon Kabushiki Kaisha | A steerable kernel for image interpolation |
US6393145B2 (en) * | 1999-01-12 | 2002-05-21 | Microsoft Corporation | Methods apparatus and data structures for enhancing the resolution of images to be rendered on patterned display devices |
US7134091B2 (en) * | 1999-02-01 | 2006-11-07 | Microsoft Corporation | Quality of displayed images with user preference information |
US6750875B1 (en) * | 1999-02-01 | 2004-06-15 | Microsoft Corporation | Compression of image data associated with two-dimensional arrays of pixel sub-components |
US6624828B1 (en) | 1999-02-01 | 2003-09-23 | Microsoft Corporation | Method and apparatus for improving the quality of displayed images through the use of user reference information |
JP2000276123A (en) * | 1999-03-26 | 2000-10-06 | Canon Inc | Display device and computer readable storage medium |
JP3702699B2 (en) | 1999-03-26 | 2005-10-05 | 三菱電機株式会社 | Color image display device |
US6262710B1 (en) | 1999-05-25 | 2001-07-17 | Intel Corporation | Performing color conversion in extended color polymer displays |
KR100534672B1 (en) * | 1999-05-26 | 2005-12-08 | 삼성전자주식회사 | Video display apparatus having a function for pivoting an on-screen display |
US6738526B1 (en) * | 1999-07-30 | 2004-05-18 | Microsoft Corporation | Method and apparatus for filtering and caching data representing images |
US6282327B1 (en) * | 1999-07-30 | 2001-08-28 | Microsoft Corporation | Maintaining advance widths of existing characters that have been resolution enhanced |
US6681053B1 (en) * | 1999-08-05 | 2004-01-20 | Matsushita Electric Industrial Co., Ltd. | Method and apparatus for improving the definition of black and white text and graphics on a color matrix digital display device |
US6483518B1 (en) | 1999-08-06 | 2002-11-19 | Mitsubishi Electric Research Laboratories, Inc. | Representing a color gamut with a hierarchical distance field |
US6771837B1 (en) * | 1999-09-27 | 2004-08-03 | Genesis Microchip Inc. | Method and apparatus for digital image rescaling with adaptive contrast enhancement |
AUPQ377899A0 (en) * | 1999-10-29 | 1999-11-25 | Canon Kabushiki Kaisha | Phase three kernel selection |
US6466618B1 (en) | 1999-11-19 | 2002-10-15 | Sharp Laboratories Of America, Inc. | Resolution improvement for multiple images |
CN1203659C (en) * | 1999-11-26 | 2005-05-25 | 皇家菲利浦电子有限公司 | Method and apparatus for treating image |
US6545740B2 (en) * | 1999-12-22 | 2003-04-08 | Texas Instruments Incorporated | Method and system for reducing motion artifacts |
US6782143B1 (en) * | 1999-12-30 | 2004-08-24 | Stmicroelectronics, Inc. | Method and apparatus for processing an image |
US6600495B1 (en) | 2000-01-10 | 2003-07-29 | Koninklijke Philips Electronics N.V. | Image interpolation and decimation using a continuously variable delay filter and combined with a polyphase filter |
US6816204B2 (en) * | 2000-01-19 | 2004-11-09 | Allen Le Roy Limberg | Ghost cancellation reference signals for broadcast digital television signal receivers and receivers for utilizing them |
US6680761B1 (en) * | 2000-01-24 | 2004-01-20 | Rainbow Displays, Inc. | Tiled flat-panel display having visually imperceptible seams, optimized for HDTV applications |
JP3654420B2 (en) * | 2000-02-25 | 2005-06-02 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Image conversion method, image processing apparatus, and image display apparatus |
US6583787B1 (en) * | 2000-02-28 | 2003-06-24 | Mitsubishi Electric Research Laboratories, Inc. | Rendering pipeline for surface elements |
US6570584B1 (en) * | 2000-05-15 | 2003-05-27 | Eastman Kodak Company | Broad color gamut display |
US6414719B1 (en) | 2000-05-26 | 2002-07-02 | Sarnoff Corporation | Motion adaptive median filter for interlace to progressive scan conversion |
US6768517B2 (en) * | 2000-07-11 | 2004-07-27 | Allen Le Roy Limberg | Repetitive-PN1023-sequence echo-cancellation reference signal for single-carrier digital television broadcast systems |
US8022969B2 (en) * | 2001-05-09 | 2011-09-20 | Samsung Electronics Co., Ltd. | Rotatable display with sub-pixel rendering |
JP3912971B2 (en) * | 2000-09-18 | 2007-05-09 | キヤノン株式会社 | Image processing apparatus and method |
JP2002262094A (en) * | 2001-02-27 | 2002-09-13 | Konica Corp | Image processing method and image processor |
EP1251480A3 (en) * | 2001-04-19 | 2004-01-02 | Spectratech Inc. | Monochrome pixellated display with improved gradation scale by use of subpixels with neutral density filters having binary scale of transmittance values |
AU2002316067A1 (en) * | 2001-05-02 | 2002-11-11 | Bitstream Inc. | Methods, systems, and programming for producing and displaying subpixel-optimized font bitmaps using non-linear color balancing |
US7184066B2 (en) * | 2001-05-09 | 2007-02-27 | Clairvoyante, Inc | Methods and systems for sub-pixel rendering with adaptive filtering |
US7221381B2 (en) * | 2001-05-09 | 2007-05-22 | Clairvoyante, Inc | Methods and systems for sub-pixel rendering with gamma adjustment |
EP2239725B1 (en) * | 2001-06-07 | 2013-10-23 | Genoa Color Technologies Ltd. | System and method of data conversion for wide gamut displays |
US7268757B2 (en) * | 2001-06-11 | 2007-09-11 | Genoa Color Technologies Ltd | Device, system and method for color display |
GB2393886B (en) * | 2001-06-22 | 2005-05-11 | Emblaze Systems Ltd | MMS system and method with protocol conversion suitable for mobile/portable handset display |
KR100806897B1 (en) * | 2001-08-07 | 2008-02-22 | 삼성전자주식회사 | a thin film transistor array for a liquid crystal display |
KR100807524B1 (en) * | 2001-10-12 | 2008-02-26 | 엘지.필립스 엘시디 주식회사 | Data wire structure of pentile matrix panel |
US6816622B2 (en) * | 2001-10-18 | 2004-11-09 | Microsoft Corporation | Generating resized images using ripple free image filtering |
WO2003034380A2 (en) * | 2001-10-19 | 2003-04-24 | Koninklijke Philips Electronics N.V. | Method of and display processing unit for displaying a colour image and a display apparatus comprising such a display processing unit |
US7245326B2 (en) * | 2001-11-19 | 2007-07-17 | Matsushita Electric Industrial Co. Ltd. | Method of edge based interpolation |
US6714206B1 (en) * | 2001-12-10 | 2004-03-30 | Silicon Image | Method and system for spatial-temporal dithering for displays with overlapping pixels |
KR100870003B1 (en) * | 2001-12-24 | 2008-11-24 | 삼성전자주식회사 | a liquid crystal display |
US7492379B2 (en) * | 2002-01-07 | 2009-02-17 | Samsung Electronics Co., Ltd. | Color flat panel display sub-pixel arrangements and layouts for sub-pixel rendering with increased modulation transfer function response |
US6819324B2 (en) * | 2002-03-11 | 2004-11-16 | Sun Microsystems, Inc. | Memory interleaving technique for texture mapping in a graphics system |
US20040012600A1 (en) * | 2002-03-22 | 2004-01-22 | Deering Michael F. | Scalable high performance 3d graphics |
US7265775B2 (en) * | 2002-03-28 | 2007-09-04 | Kabushiki Kaisha Toshiba | Three-dimensional display apparatus |
KR100878280B1 (en) * | 2002-11-20 | 2009-01-13 | 삼성전자주식회사 | Liquid crystal displays using 4 color and panel for the same |
JP2004048702A (en) * | 2002-05-17 | 2004-02-12 | Canon Inc | Stereoscopic image display device and stereoscopic image display system |
US6943805B2 (en) * | 2002-06-28 | 2005-09-13 | Microsoft Corporation | Systems and methods for providing image rendering using variable rate source sampling |
US6888604B2 (en) * | 2002-08-14 | 2005-05-03 | Samsung Electronics Co., Ltd. | Liquid crystal display |
US7057664B2 (en) * | 2002-10-18 | 2006-06-06 | Broadcom Corporation | Method and system for converting interlaced formatted video to progressive scan video using a color edge detection scheme |
US7091944B2 (en) * | 2002-11-03 | 2006-08-15 | Lsi Logic Corporation | Display controller |
US7103212B2 (en) * | 2002-11-22 | 2006-09-05 | Strider Labs, Inc. | Acquisition of three-dimensional images by an active stereo technique using locally unique patterns |
JP4005904B2 (en) * | 2002-11-27 | 2007-11-14 | 松下電器産業株式会社 | Display device and display method |
US20040183817A1 (en) * | 2002-12-03 | 2004-09-23 | Bitstream Inc. | Methods, systems, and programming for scaled display of web pages |
US6867549B2 (en) * | 2002-12-10 | 2005-03-15 | Eastman Kodak Company | Color OLED display having repeated patterns of colored light emitting elements |
KR100493165B1 (en) * | 2002-12-17 | 2005-06-02 | 삼성전자주식회사 | Method and apparatus for rendering image signal |
US7308157B2 (en) * | 2003-02-03 | 2007-12-11 | Photon Dynamics, Inc. | Method and apparatus for optical inspection of a display |
US7257278B2 (en) * | 2003-02-26 | 2007-08-14 | Hewlett-Packard Development Company, L.P. | Image sensor for capturing and filtering image data |
US7006095B2 (en) * | 2003-03-25 | 2006-02-28 | Mitsubishi Electric Research Laboratories, Inc. | Method for typesetting a set glyphs represented as a set of two dimensional distance fields |
US7352374B2 (en) * | 2003-04-07 | 2008-04-01 | Clairvoyante, Inc | Image data set with embedded pre-subpixel rendered image |
JP3744511B2 (en) * | 2003-05-15 | 2006-02-15 | セイコーエプソン株式会社 | Electro-optical device, electronic apparatus, and method of manufacturing electro-optical device |
JP3912325B2 (en) * | 2003-05-15 | 2007-05-09 | セイコーエプソン株式会社 | Electro-optical device, electronic apparatus, and method of manufacturing electro-optical device |
US8035599B2 (en) * | 2003-06-06 | 2011-10-11 | Samsung Electronics Co., Ltd. | Display panel having crossover connections effecting dot inversion |
US6897876B2 (en) * | 2003-06-26 | 2005-05-24 | Eastman Kodak Company | Method for transforming three color input signals to four or more output signals for a color display |
JP2007527567A (en) * | 2003-07-02 | 2007-09-27 | セラーテム・テクノロジー・インコーポレイテッド | Image sharpening with region edge sharpness correction |
US20050024380A1 (en) * | 2003-07-28 | 2005-02-03 | Lin Lin | Method for reducing random access memory of IC in display devices |
KR100997965B1 (en) * | 2003-09-25 | 2010-12-02 | 삼성전자주식회사 | Liquid crystal display |
KR101012788B1 (en) * | 2003-10-16 | 2011-02-08 | 삼성전자주식회사 | Liquid crystal display and driving method thereof |
US7084923B2 (en) * | 2003-10-28 | 2006-08-01 | Clairvoyante, Inc | Display system having improved multiple modes for displaying image data from multiple input source formats |
US7706604B2 (en) * | 2003-11-03 | 2010-04-27 | Seiko Epson Corporation | Production of color conversion profile for printing |
US6885380B1 (en) * | 2003-11-07 | 2005-04-26 | Eastman Kodak Company | Method for transforming three colors input signals to four or more output signals for a color display |
US20050140634A1 (en) * | 2003-12-26 | 2005-06-30 | Nec Corporation | Liquid crystal display device, and method and circuit for driving liquid crystal display device |
-
2003
- 2003-10-28 US US10/696,026 patent/US7525526B2/en not_active Expired - Lifetime
-
2004
- 2004-10-20 CN CN2008101283638A patent/CN101339729B/en active Active
- 2004-10-20 CN CN2008101283619A patent/CN101339728B/en active Active
- 2004-10-20 WO PCT/US2004/034773 patent/WO2005045757A2/en active Application Filing
- 2004-10-20 CN CN2008101283623A patent/CN101339651B/en active Active
- 2004-10-20 CN CNB2004800309039A patent/CN100492482C/en active Active
- 2004-10-20 EP EP04795876A patent/EP1678702B1/en active Active
- 2004-10-20 KR KR1020117006495A patent/KR101119169B1/en active IP Right Grant
- 2004-10-20 JP JP2006538096A patent/JP5311741B2/en active Active
- 2004-10-20 KR KR1020067007976A patent/KR101064188B1/en active IP Right Grant
-
2011
- 2011-05-02 JP JP2011103300A patent/JP5411202B2/en active Active
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8184126B2 (en) | 2005-11-09 | 2012-05-22 | Chimei Innolux Corporation | Method and apparatus processing pixel signals for driving a display and a display using the same |
Also Published As
Publication number | Publication date |
---|---|
JP5411202B2 (en) | 2014-02-12 |
EP1678702B1 (en) | 2012-10-17 |
CN101339651A (en) | 2009-01-07 |
US20050088385A1 (en) | 2005-04-28 |
JP5311741B2 (en) | 2013-10-09 |
WO2005045757A3 (en) | 2005-08-18 |
EP1678702A2 (en) | 2006-07-12 |
CN101339728B (en) | 2010-06-09 |
CN101339729B (en) | 2010-06-09 |
JP2007511789A (en) | 2007-05-10 |
CN100492482C (en) | 2009-05-27 |
KR101119169B1 (en) | 2012-03-22 |
EP1678702A4 (en) | 2010-12-08 |
KR20060094092A (en) | 2006-08-28 |
CN101339651B (en) | 2011-03-23 |
CN101339729A (en) | 2009-01-07 |
KR101064188B1 (en) | 2011-09-14 |
JP2011166829A (en) | 2011-08-25 |
KR20110046544A (en) | 2011-05-04 |
US7525526B2 (en) | 2009-04-28 |
CN101339728A (en) | 2009-01-07 |
CN1871634A (en) | 2006-11-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP1678702B1 (en) | System and method for performing image reconstruction and subpixel rendering to effect scaling for multi-mode display | |
KR101254032B1 (en) | Multiprimary color subpixel rendering with metameric filtering | |
JP5190626B2 (en) | Improved subpixel rendering filter for high brightness subpixel layout | |
US7646430B2 (en) | Display system having improved multiple modes for displaying image data from multiple input source formats | |
US6751006B2 (en) | Processing techniques for superimposing images for image projection | |
EP1934970B1 (en) | Improved memory structures for image processing | |
US8326050B2 (en) | Method and apparatus for subpixel-based down-sampling | |
WO2007060672A2 (en) | Sub-pixel rendering of a multiprimary image | |
Fang et al. | Novel 2-D MMSE subpixel-based image down-sampling for matrix displays | |
WO2012147879A1 (en) | Image processing device, display device, image processing method and image processing program | |
Elliott et al. | Image Reconstruction on Color Sub-pixelated Displays |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 200480030903.9 Country of ref document: CN |
|
AK | Designated states |
Kind code of ref document: A2 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NA NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A2 Designated state(s): BW GH GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
WWE | Wipo information: entry into national phase |
Ref document number: 1006/DELNP/2006 Country of ref document: IN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2004795876 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2006538096 Country of ref document: JP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 1020067007976 Country of ref document: KR |
|
WWP | Wipo information: published in national office |
Ref document number: 2004795876 Country of ref document: EP |
|
WWP | Wipo information: published in national office |
Ref document number: 1020067007976 Country of ref document: KR |