TW201027457A - Method of and apparatus for processing image data for display by a display device - Google Patents

Abstract

A method is provided of processing image data for display by a display panel of a display device. Image pixel data representing an image is received. In a first processing step, the pixel data is processed to produce a multiple-view effect to a viewer. In a second processing step, for each of a plurality of subsets (kernel) of the pixel data, where each subset (kernel) comprises a same number of pixel groups (Px-1, Px, Px+1, Px+2) and each pixel group (Px-1, Px, Px+1, Px+2) comprises at least one pixel, new pixel data (Px') is derived (operation) for at least one of the pixel groups (Px) of the subset (kernel) in dependence upon the pattern (Pattern ♯ ) of pixel data in the pixel groups (Px-1, Px, Px+1, Px+2) of the subset (kernel). The deriving (operation) of the new pixel data (Px') is performed in a manner that is capable of distinguishing at least one such pattern from its inverse.

Description

201027457 VI. Description of the Invention: [Technical Field] The present invention relates to a method and apparatus for processing image data displayed by a display device. [Prior Art] An active matrix liquid crystal display device is known which can switch between a common display mode and a private display mode, or it can guide a plurality of different images to different viewers. In the first (common) mode, these displays typically behave as standard displays. The device displays a single image to the widest possible range of viewing angles for optimal brightness, image contrast and resolution for all viewers. In the second (private) mode, the main image can be discerned only from a reduced range of viewing angles (typically centered on the normal to the display surface). From this reduced angle range, the viewer of the external gaze display will perceive the second occlusion image of the main image, or be downgraded to cause an incomprehensible main image. In GB2413394 (Sharp), a switchable privacy device is constructed by adding one or more additional liquid crystal layers and polarizers to the display panel. The inherent viewing angle dependence of such additional components can be varied by electrically switching the liquid crystals in a known manner. Devices utilizing this technology include the Sharp Sh851i and Sh902i mobile phones. However, these types of displays can only selectively attenuate the brightness of the main image for observers outside of the reduced viewing range and cannot display reconfigurable color video images to the side viewer. The multi-view display of the parallax barrier technology is described in US 2007/0296874 A1 and US Pat. No. 154,653. All of the above methods suffer from the disadvantage of requiring additional devices to be added to provide functionality to electrically switch the range of viewing angles. This adds cost to the display and especially adds volume to it, which is very bad in mobile display applications such as mobile phones and laptops. Parallax barrier-based displays can only be used in public mode even in public mode. The inspection area displays half of the pixels in the display, so the effective image resolution is half of the resolution of the base panel. Eight display devices with private mode capabilities without increased display hardware complexity - an example is the Sharp Sh702iS# mobile phone. This is combined with the angular data illuminance property inherent in the liquid crystal mode in the display to use the manipulation of the image data displayed on the LCD of the telephone to generate the (four) mode that the display information is incomprehensible to the viewer of the self-eccentric position observation display. . However, the quality of the image displayed to the legal on-axis viewer in the pattern is somewhat degraded. ❹ In GB2428152A1 and in GB patent application g8 (M〇22 2), only the base (four) image processing technique is multi-viewed (4), which provides detailed reconfigurable sub-images in the private mode ( Side ima (4) without the need for additional optical devices on the display panel. In these displays, the main image data is manipulated in a manner that relies on the second masked image, and thus causes off-axis when the modified image data is displayed on the panel The viewer perceives that the image is obscured. As described in GB Patent Application No. 〇8〇4〇22 2, the high spatial frequency modulation applied to the main image to produce a multi-view effect can lead to bad color 143988.doc 201027457 The color artifacts become apparent, in which the specific image features are present in the main image: the above-mentioned towel description describes the image processing device (such as the image described in GB Patent Application No. 0701325.3 (published as GB-A_2445982) Filter) applied to the main image to blur the fine features in the image: substantially improving the appearance of such artifacts. However, standard image blur filters (including the described for multi-view) The display display (such as the standard image mode (four) wave H in the above disclosure) is not designed to specifically address the specific color artifacts associated with the image data manipulation multiview processing program. As a result, it has been shown to be The minimum blur of the main image of the image type is not sufficient to remove the color artifacts. In particular, the waver cannot correct the color artifacts around the black text and white text by the same parameter set. Yu:2:: Providing a multi-view display that makes the common mode relatively unchanging standard display panel substantially unchanged (ie, full brightness, resolution ^, ^ ratio, viewing range, etc.), and has a base (four) image processing side ± ^ Dan ^ If the quality of the image observed by the main viewer is optimized by including the image processing steps of correcting the color artifacts generated by the multiview image processing program with ^^ [Description of the Invention] According to the first aspect of the present invention, a method for processing a material (4) for display by a display device is provided, which comprises: receiving a representation image Image pixel data; in the first scene/mesh step, the pixel data is processed to produce a multi-view effect to the viewer; and in the first processing step, for a plurality of subsets of the data such as 143988.doc 201027457 Each of the 'sub-sets containing the same number of pixel groups and each-pixel group containing at least one pixel, depending on the pattern of pixel data in the pixel group of the subset, the pixel group for the subset At least one of the new pixel data is derived, and the derivation of the new pixel data is performed in such a manner as to be able to distinguish at least one of the patterns from the reverse pattern thereof. The first processing step can be performed in consideration of the nature of the display panel to introduce the following changes: The change in illuminance on the axis 'it tends to be locally balanced by spatial averaging to the on-axis viewer and will therefore not be perceived by the on-axis viewer; and the change in off-axis illumination will not be spatially averaged The off-axis viewer is locally balanced and will therefore be perceived by the off-axis viewer. According to a first aspect of the present invention, there is provided a method for processing image data displayed by a display panel that is displayed, comprising: receiving image pixel data representing an image; and in the first processing step, considering a display panel: The nature of the processing of the pixel data in order to introduce the following changes: the change in illumination on the axis, which tends to be locally balanced to the on-axis viewer via spatial averaging and thus will not be perceived by the on-axis viewer; and off-axis The change in illuminance, which will not be spatially averaged and balanced to the off-axis viewer and will therefore be the off-axis view phase (4). And in the 4th step (4), for each of the plural subsets of the ^ data In one case, each subset includes the same = pixel group and each pixel group includes at least one pixel, and depends on the pattern of the pixel data in the pixel group of the pixel group for the subset, and At least one of them to derive new pixel data. In a processing step, any illuminance increase introduced by the viewer as 143988.doc 201027457 introduced by the viewer in the pair-to-pixel group having the early-illumination via spatial averaging can be The substantially equivalent illuminance reduction of the image is substantially matched. • One can be configured as follows: • The pixel of the pair is at the maximum illuminance, or the illuminance of the other of the pair is close to the small illuminance. I (4) (4) The illuminance obtained is close to the maximum. The new material (4) may include a pixel group depending on the image filter 'and the selected chopper applied to the subset = some pixel groups to derive new pixel data. The method can include comparing the pattern of pixel data with a plurality of predetermined patterns, and deriving new pixel data depending on the result of the comparing step. Each of the predetermined patterns τ is associated with a respective filter, and the method can include identifying the "疋 matching pattern" in the comparison step and selecting its associated filtering benefit for deriving new pixel data. The comparing step may include: determining, for each of the at least one pixel group or the at least one image group of the group of pixels corresponding to the new pixel data, a measure of the brightness of the adjacent pixel group The metric distinguishes between higher brightness and lower brightness. Group /, can be 匕 3 · For each pixel group in the subset, assign the pixel group to one of the pre-distribution sets according to the pixel group, and the pixel data, and in the comparison step, compare the The pattern of the assigned level and the predetermined pattern may be packaged a based on at least some of the pixel groups of the subset of pixels: pixel data to calculate the metric, and may be dependent on the calculated metric to perform assigning the prime group to the predetermined Step 143988.doc -8- 201027457: According to a third aspect of the present invention, there is provided a method for processing image data for displaying a panel display without displaying a panel, comprising: Image pixel data; in a first processing step, processing pixel data to produce a multi-view effect to the viewer; and in a second processing step, for each of the plurality of subsets of the image deletion, each of the subsets a pixel data metric that includes at least some pixel groups of the same 'pixel group and each pixel group includes at least one pixel: a group of pixels of the US μ set, for each pixel of the subset towel is light, _ Pixel image Comparing the group of pixels to a predetermined set of levels by means of the calculated metric, comparing the pattern of the assigned level with a plurality of predetermined patterns; and relying on at least the result of the comparing step for at least a group of pixels of the subset One to export new pixel data. This metric can be an average. The S method may package s based on the pixel data of the pixel group and the calculated metric 1 (eg, using the calculated metric as a threshold)* to send the pixel group to one of the predetermined level sets By. The method can include, for example, converting the pixel data to a illuminance value for use in the derivation step based on a gamma-screen law function (repression... please law fUnction). The method can include using at least one conversion parameter determined by a pattern of pixel groups that depend on the good set. The subset of pixels of the subset may be contiguous and extend substantially in a dimension. A subset of pixels can include a connected two-dimensional configuration. Each of the multiple subsets can be separated from another subset by a pixel group. 143988.doc 201027457 The knowledge of the processing of new pixel data is derived. ^ can be used in the first processing step to make the execution of the two tables =:: - the processing tends to cause artifacts. Wherein the step performed in the processing step = the step of determining whether to derive the pixel data of the at least one image feature in each of the new pixel pixel group or the at least one pixel group is formed to represent a shadow processing step Image features tend to cause artifacts due to the processing of the first, stubborn. In the exporting step, the pattern of the pixel data of the feature different from the pattern of the "Keep Phenomenon" of the <dark feature may be used in the process of processing the image. The brightening step on the relatively dark background may include white lesions for... Γ pattern decision deriving new pixel data '7 I prime group or each of the at least one pixel group forming at least one of the following image features - Part of: a dark or bright line with a single "group"; a group of pixels adjacent to a dark or bright line having a width of a single pixel; a dark or bright line with a width of two pixel groups Edge; a dark-light checkerboard pattern having a distance between one or two groups of pixels; and a diagonal. The second processing step may be performed prior to the first processing step. The second processing may be performed after the first processing step Steps. New pixel data can be derived for a single pixel group of a subset of pixel groups. ' 143988.doc 201027457 A composite color pixel group for each pixel group can contain color component pixels' method is applied to color sequentially Each of the component pixels. The composite color pixel group may include red, green, and blue component pixels. The first processing step may be performed to interleave the different images of the respective images. a collection of pixel data for presentation to viewers in different individual viewing locations. • Different images. According to a fourth aspect of the present invention, an apparatus is provided that is configured to perform a first to According to a fifth aspect of the present invention, there is provided a display apparatus comprising the apparatus according to the fourth aspect of the present invention. According to a sixth aspect of the present invention, a A program for controlling a device to perform a method according to any one of the first to third aspects of the present invention. The program may be carried on a carrier medium. The carrier medium may be a storage medium or a transmission medium. The nature of the panel can be a response to its signal voltage versus on-axis illumination, where the illumination changes introduced on the axis are configured to tend to be locally balanced to the on-axis viewer via spatial averaging and therefore will not It is perceived by the on-axis viewer. The panel will have a non-linear out-of-axis illumination versus on-axis illuminance so that the changes introduced in the off-axis illumination will not be averaged over the space. The off-axis viewer is locally balanced and will therefore be perceived by the off-axis viewer. One embodiment of the present invention provides an improved image processing method for a private and multi-view display that allows such displays to be Without introducing multi-view data manipulation processing program to introduce image artifacts that are not forgotten by others, 143988.doc 201027457 Maintain image quality on high-axis, look forward to __ 怒法+ These devices are used for image data Manipulating the inherent angle of the C panel to view the dependence to make the type of the $# ... the type of view. The image can be a plurality of views in the first embodiment of the present invention, The device processes the plurality of image data sets*, ^^ input to the device to detect specific image features that are known to cause ^^^W in the image processing program of the Burgundy view. Reading a particular image feature in a manner that prevents the bow 5 from entering the meal while maintaining the original image as much as possible while maintaining the original image feature. In a second embodiment of the present invention, A localized pixel group of the output image towel caused by the multi-view image processing program and a pixel group corresponding to at least one of the phased images of the wheeled image. The difference is then guessed and the multiview output image is altered in a less noticeable manner by correcting the difference or spreading it over a wider area of the multiview output image. [Embodiment] In a preferred embodiment, the display is comprised of a standard LCD display with modified control electronics. LCD displays typically consist of a number of component parts, including: 1. A backlight unit that supplies uniform wide angle illumination to the panel. 2. Control electronics for receiving digital image data and outputting analog signal voltages for each pixel, as well as timing pulses and common voltages for the opposite electrodes of all pixels. A schematic of the standard layout of LCD control electronics is shown in Figure E (Ernst Lueder, Liquid Crystal Displays Wiley and sons Ltd, 2001). 143988.doc •12- 201027457 3.LC panel 'is used to display images by spatial light modulation, consisting of two opposite glass substrates, placing pixel electrode arrays and active matrix on one of the glass substrates The array directs electronic signals received from the control electronics to the pixel electrodes. A uniform common electrode and color are typically placed on the other substrate; the filter array film. A liquid crystal layer of a given thickness (typically 2-6 μm) is contained between the glass substrates, which can be aligned by the presence of an alignment layer on the inner surface of the glass substrate. The glass substrate will typically be placed between the alternating polarizing film and the other optical compensation film to cause an electrically induced alignment change in each pixel region of the LC layer to produce light from the backlight unit and the surrounding ring. It is desired to be optically modulated and thereby produce an image. Fig. 2 is a view showing an embodiment of the present invention which is not disclosed in GB Patent Application No. PCT Application No. 2,222, which is incorporated in the common display mode. In general, LCD control electronics (also referred to herein as control electronics) will be specifically configured for the electro-optic characteristics of the LC panel 2 to be directed to the direction from the direction perpendicular to the apparent surface (on-axis). The viewer 3 outputs a signal voltage dependent on the input image data in a manner that optimizes the perceived quality of the displayed image (i.e., resolution, contrast, brightness, response time, etc.). The relationship between the input image data value of a given pixel and the observed illuminance caused by the display (gamma curve) is the combined effect of the mapping of the data value of the display driver to the signal voltage and the response of the signal voltage of the LC panel. Make a decision. The LC panel 2 will typically be configured with multiple Lc domains per pixel and/or passive optical compensation films to keep the display gamma curve as close as possible to the on-axis response for all viewing angles, thereby providing a wide viewing area 5 Provides the same quality image on the general 143988.doc •13· 201027457. However, the inherent properties of liquid crystal displays are: 苴| , , , "response to angle-dependent, and the off-axis gamma curve will be different from the on-axis gamma curve. As long as this does not cause contrast inversion or large color shift or contrast This is usually not caused by the off-axis viewer 4 in the observed image. When the field display is operating in the common mode, the main image data 6 constituting the single image is input in each frame period. To the control electronics, which are typically in the form of a Φ column bit stream, the control electronics then rotates the signal data voltage set to the Lc panel 2. These signal voltages are in the active matrix array of the LC panel. Each of the leads is directed to a corresponding pixel electrode, and the resulting collective electro-optic response of the pixels in the layer produces an image. The on-axis viewer 3 and the off-axis viewer 4 then perceive substantially the same image, and the display can be said to be in a broad view. Operation in mode. This situation is illustrated in Figure 2, and it can be said to be a standard operating method for LCDs. It is described in GB Patent Application #第〇8〇4〇22 2 and is schematically illustrated in Figure 3 In the multi-view display device of the type illustrated, in the private mode, ten image data sets are input to the control device in each frame cycle. The main image data 7' constituting the main image and the constituent The sub-image data of image 8. The control electronics then outputs a set of signal data voltages, one for each pixel in the previous UC panel. However, the control electronics (display controller) is now utilizing the expansion type. The look-up table 2 is used to form each of the silly sounds in the LC panel of the combined image. The parental pixel's round-off signal data voltage depends on the pair of the main image 7 and the sub-image 8 (for the image) The value of the data in the space position. The output data for each pixel is 143988.doc -14- 201027457. The pressure can also depend on the three parameters of the pixel in the display.

The output from the control electronics 1 (4) then causes the LC panel 2 to display a combined image that is the primary image when viewed by the primary viewer 3. However, because of the different gamma curve characteristics of the LC panel for the off-axis viewer 4, these off-axis observers most notice the sub-image, which masks and level the main image, thereby protecting the display method. The line-centered angle is limited to the main image information of the viewer in the miscellaneous shape 9. This situation is illustrated in Figure 3. 2. Find additional details by referring to GB Patent Application No. 2 #2. The image data dust reduction and combination processing procedures and parameters described in the multi-view processing program of the patent application No. _4〇22.2 can produce small color artifacts that are apparent to the on-axis viewer 3. This is especially the case for the area of the input main image that consists of the diagonal of the previous pixel width. (d) due to the fact that this process often results in an output image 'where the alternating color sub-pixels are set to black', so the black diagonal of the single-pixel width superimposed on this pattern can be retained on either side only A pixel line having one or two color sub-pixels, the sub-pixels being along the length of the pixel line. In this case, the color line becomes visible to the eye. See Figure 4 and Figure 5 for this problem. Figure 4 shows the results of a multiview image processing program applied to the luminance values of a 2χ2 pixel group from a sub-image of a typical thin stripe display. It can be seen from this that at the multi-view: the program output changes the image according to the sub-pixel level but maintains the overall illumination and color balance of the 2χ2 group. The set of output pixels will then appear to be equal to the input main image to an observer located at a distance sufficient to 143988.doc 15 201027457 and seeing only the averaged pixel illumination of the group. Figure 5 illustrates the same multi-view processing procedure applied to the 2χ2 pixel group from the input sub-image, with the input sub-picture (4) being the same, but the input main image area consisting of dark diagonal lines. It can be seen that the multiview processor results in output image data that differs significantly in both overall illumination and color balance. This difference will be seen by the observer on the axis and will result in a strong green artifact in this example. The appearance of the positional image artifact depending on the pattern of the diagonal relative to the bright and dark sub-pixels may vary. For example, for example, the dark diagonal in the input main image of the slope opposite to the margin shown in Figure 5 will result in an overall magenta appearance in the output pixel, resulting in an image processing procedure that will be added to the image - All of the color sub-pixels in the composite white pixels, the silk should be equal to all the color components of the adjacent composite white pixels minus the illuminance (also as described in gb patent: please refer to paragraph _4〇22.2), rather than the basis Patterning at the pixel level' then the diagonal can disappear completely.

Patent Application No. 2/2 describes the addition of preprocessing steps for inputting the main image data set and the input sub-image data set in the multi-view image combination processing program (composed of image mode (4) and wave device). (d), u, to prevent the occurrence of such image artifacts. This change to the display processing procedure is illustrated in Figure 6 of the accompanying drawings (corresponding to Figure 17 of GB Patent Application No. 0-22.2). 143988.doc -16- 201027457 Efficient use (for example, it can be handled by the following: less; use more or more to rush to the lower memory of Becco; less strict lower dive Time; and lower power consumption) to use the image manipulation performed by the method and the image generated by it false = to recognize the way in the output image ^ false image to change the input image data set fly In the method, when the input image pixel data is received by the additional image processing device, the input image pixel 2 is buffered by a plurality of pixels to allow sampling together in the "window" or "core" of the image. A subset of adjacent pixel data values. Each of the flesh or core is considered to contain an image = subset, where each sub-set contains the same number of pixel groups and the pixel group contains at least - pixels. For example, each image may have a color pixel group containing red, green, and blue pixels. For the sake of simplicity & 'groups are simply called pixels. _ See 'In this article, the pixel group is sometimes applied ❹ Next, a three-step process is applied to each subset: Use the - (classification) step to represent the pixels in the subset as "high" value two" value pixels . This sorting step can also be considered to be based on the brightness (2) to the step in the predetermined level set (in this case, A is the same and lower). In the case where the pixel value is associated with a single :: or black and white pixel, the image of the adjacent pixel is processed. However, in the case of a composite color pixel group (each of which contains red, green, and blue pixels), the processing is applied sequentially to each of the color component pixel values of the composite pixel group. 143988.doc •17· 201027457 In the second (comparison or condition detection) step, the resulting high/low pattern and the known pattern set are compared. In the case where a match is found, a third (operational) step is performed on at least one of the pixels in the subset, and the sampling window is then moved within the image to sample the new set of pixels. In the case where no match occurs, the pixel value remains unchanged, and the sampling window continues to advance (if no match is found, the stitching can be at least conceptually determined, and the existing image pixel data is obtained by filtering (4) without change. In case of it, use it as a new pixel data). Once the window has scanned the main image and performs any necessary changes to the image data value, the adjusted image data is output from the pre-processing circuit to the multi-view. In an exemplary implementation, the sampling window or "core" is a 4x 1 horizontal pixel block. The categorization step involves averaging the data values of all pixels, and defining those pixels in the core having data values above the average value as having a high value (> expressed as "1") and having a lower than average value The pixels of the data value are defined as having a low value or "〇". This processing procedure is illustrated in Figure 7 for an example pixel value column. Then, the 4x1 pattern of 0 and 1 values is compared with the known pattern set, and the operation corresponding to the current pattern is performed on the second pixel (Ρχ) on the left side of the core. Then X1 is shifted to the right side in the image. And repeating the π/low classification, pattern comparison, and operation of the second pixel. This process continues until the full width of all columns in the scanned image is scanned. The modified data values from the previous steps can be used in subsequent steps, or The original data value can be used as an example. In the first stage, it is possible to modify the pixel of the window 143988.doc 201027457 2 (the first pixel from the left) and the pixel then becomes the pixel in the window in the second stage. In the first implementation, the new value of pixel i will be used in the calculation in the second phase, while in the second implementation, the pixel will be used as the original value. In the video display, this processing is performed (four), 彳^ • Each frame of the loss frame time domain waver video sequence and the corrected image is output to the display. First, then the parent and the pixel group are composed of individual color component pixels. The processing procedure is repeated independently for the amount of babies and amps. For example, the description of FIG. 7 can be considered to represent only the red components of the four adjacent pixels in the 4 χ 1 window. A value, or a green value, or a basket color value, in another embodiment, would make it possible for the window to consider and process values from more than one color component together, allowing for more complex color patterns to be considered. In the example, among the 16 possible core patterns, it has been found that one core pattern requires performing an operation on the second pixel from the left, so that the image feature of the artifact will be caused in the multi-view image. Show these patterns and corresponding operations. It should be noted that the pixel value used to calculate the pixel value (the new value of the second pixel from the left in the core) is the pixel & and its neighbor hi • Xiao Wei +1's original data The value, rather than the value of the inter-/low value or the value of 1 in the first step of the processing procedure, nor the new corrected pixel value caused by the previous step if the core is in a different position. Note the table, the hair One embodiment is capable of distinguishing between each pattern and its reverse pattern; for example, pattern i can be distinguished from the reverse pattern of pattern (which is pattern 2) and pattern 3 can be reversed with pattern 3 (which is Pattern 4) Distinguish. Apply 143988.doc • 19· 201027457 different filters or operations to each-pattern and its corresponding respective reverse pattern. Embodiments of the present invention can be viewed by viewing the pattern in the pixel data rather than The pattern of the absolute difference pattern derived from the pixel data (this is the condition in gb_a_ 2445982) is used to complete the process. However, it is not required to distinguish each pattern from its reverse pattern, and may be the following condition: the same filter or operation It is applied to a particular pattern and its inverse pattern, so it will not be necessary in any case to make any distinction between the two. It may also be the case that although it is required to distinguish between a specific pattern and its reverse pattern (for example, distinguishing from 〇〇1〇) 'but it is possible to apply only the ferrite to one of the two (for example, 1101) ' The filter is not applied to the other of the two (eg, 0010); in this case, it is only required to detect the presence of one of the patterns, rather than the presence of both. In this context, the inverse pattern of pixel data can be considered to be combined to produce a pattern of substantially uniform images, with the light being the opposite of the dark and vice versa. The parameters (BN, WN, BL, WL, BE, WE, wc, and BC) used to calculate Px can be assigned any value between (4), and these parameters determine the data value when performing a particular operation. The amount by which the data value of its neighbor is shifted. In order to prevent any image artifacts from appearing in the multiview image while maximizing the amount of change applied to the image, it is necessary to accurately set these parameters according to the optical characteristics of the display (freedom, contrast, gamma curve, etc.). In order to optimize the efficiency of the chopper handler, it is necessary to make these parameters an integer fraction of y (i.e., m/_m/32, where the paw is a positive integer) to allow the division step to be a simple bit shift. Bit. The advantage of this embodiment over the prior art image blur filter is that: 143988.doc -20· 201027457 The test step allows to determine that the pixel to be operated is part of a single line that is dark or bright, adjacent to a single dark or bright line. Pixel width; Μ, the left edge of a dark or bright line of one pixel width, or the part of a two-dark-lighted checkerboard pattern. These are the main image features that result in artifacts caused by multi-view (4) image processing procedures, and each requires 2 to perform different operations in each condition to best correct the predictions that would otherwise be =. In other words, the color feature can be different from the black feature, and the pixels adjacent to the thin feature can undergo different amounts of modification to the pixels that make up the feature itself. This allows the same chopper to enhance the appearance of both the white and black lines (the ability to significantly increase the perceived quality of the image after the multi-view process). Different operations are used for each pattern matching condition (each with individual custom parameters) to allow this to happen. 0 Note that although (4) processing (4) above causes the heart to travel across the image, it can be left unchanged. The overall performance of the handler is such that it travels in other ways or vertically, with corresponding changes to the pixels within the core that cause the data values to be changed at each step. It should also be noted that although the classification step as described above has been shown to give an "effective result, there may be a way to assign the input image pixel data value to the 0/1 state for equivalent or more effective. There are many other possible ways to compare a particular situation pattern. A simple threshold data value can be applied that classifies the pixel as low when the data value of the pixel is below the threshold and pixels when the data value of the pixel is above the threshold Classified as high. A threshold with a _ range can be applied, where the image of the f-value within the range has a high or low state assigned to it, such as singer 143988.doc -21 - 201027457. A pixel within a set can be assigned a high or low value based on its relative data value compared to its neighboring pixels. This method can also be subjected to "spread", where the difference between a pixel and its neighboring pixels is less than a certain amount, The pixels are not classified as high or low. Such methods, combinations of such methods, and other methods of performing the same classification function are also within the scope of the invention.

It is even possible to dispense with the independent classification step, for example, to make the situation detection multiple operations directly manipulate the image data; the status detection step will determine which (if any) changes are needed based on the image data itself (eg, via the The predicted status of the image data of A (rather than the preprocessed classification value). In this case, the first step and the second step can be considered to combine the classification and the status_ as a step to perform; basically, this step classifies the pixel data into several types of money, each-category Has an associated filter. It is also possible to combine all three steps into one step. It is necessary that the new pixel data is derived in some way based on the brightness pattern of the sub-pixels, regardless of the steps and more: 乂, To achieve this situation. Another possibility is that the __step is calculated from the pixel count - or more "feature indicators", and the feature indicators are opposite, associated with the known image features - or multiple (four) Do not measure; and δ, a feature indicator may reflect the appearance of the pixel as "how to reflect the chess, where the high value reflects the height of the checkerboard appearance and the low value,,,, 'not a lot of appearance. Will continue to use this The "characteristic indication prayer" is the most dominant in the second step, and the image features (or) and the filter are most suitable for use in the third step. 143988.doc •22- 201027457 For the skilled reader, it is obvious that the discs and the like can be implemented on the processing unit that provides the data to the display device, and the software described above is implemented to implement the implementation described above. Example image processing method. The processing can also be implemented in a special application integrated circuit (ASIC), field programmable gate array (FPGA) (integrated into the current right deer _ existing display control electronics) or other electronic Electricity • Road. An advantage of this embodiment is that the required circuit, together with the pixel transistor device, can be placed on the glass substrate of the display, thereby saving cost and allowing the defect. The m circuit valley is easily adapted to implement each display having the circuit. An example of a circuit design for performing a snow processing procedure is shown in FIG. In Fig. 9, it can be seen that the processing procedure described above is performed in such a manner that the pixel data values of the images corresponding to the positions of the core needles &seedlings> ~/α are stored in the buffer. In memory. Input the 牦 丛 xsm _ value to the high/low detector and average calculator '^ ^ for the first (classification) step and also to the parameter multiplication handler for the third (operation) step . The output of the high/lower controller is used in the second (status detection) step by the pattern matching selector to select which of the available parameters input from the scratchpad block are to be applied from the buffer W. Prime value 1 calculates the correct output value in the third (operational) step. Can be used in the diagram as WN〇/1, BN〇/1, WL()/1, display 1, WE〇/1, BE〇/1, WC〇/1, and i, 0/1 The suffix depends on whether it is a parameter that is applied to one of ρχ (the current primary change, the upper XV Tianyue J changed pixel) or one of its immediate neighbors (for example, ν Ma Using the value given in Figure 8, WN1 will be equal to 1-WN0). It should be noted that although FIG. 9 plots the input image data as having a bit depth of 6 bits per color pass 143988.doc -23- 201027457 (that is, 18 bits per pixel), the figure only The 'example implementation' and the functional processing illustrated by the figure can be applied to images of any bit depth. The implementation as described also allows the use of a simple sizing method in the _ (classification) step, which has the possibility of inputting „ and the value to determine the data level threshold of the high and low states. It can also be combined with the core average. The value is used to define a range above and below the core average, and the pixel data value must be outside the range to be classified as high or low. It should also be noted that although the processing procedure as described above is generated A significant increase in the perceived quality of images subjected to multi-view processing and requires very modest computing resources, but variations to the processing procedures are also possible, which can achieve superior performance at the expense of increased computing resources. As discussed, the diagonal lines in the input image are characteristic of the most noticeable image artifacts typically found in multi-view images. Therefore, a processing method is needed that distinguishes between diagonal and horizontal and vertical lines, and So the application requires correction while keeping the off-diagonal relatively unchanged to maintain a larger overall image sharpness. This is for single-wire cores. Possible, but if you increase the area of the core to cover 2 or more columns, and increase the number of specific patterns used to compare and determine which-operation will be applied and the number of available operations, you can make the private processing Preferentially operating the diagonal while maintaining substantially as described above and thereby providing superior image quality in the output multi-view image

quality. The shape of the image scanning I core utilized may thus be 4, 2, 5 χ 2, 3 χ 3 pixels or any shape found to provide optimum performance without departing from the material of the present invention. 143988.doc • 24· 201027457 In a second exemplary implementation of this embodiment, a 4χ3 pixel window is used to sample each pixel of the main image and its surrounding pixels in the first (classification) step. Again, in the second (status detection) step, the number of possible conditions and the pixel configuration in the window are compared, and in the third (operational) step, the non-linear data value is combined to the "pixel appearance" conversion step (such as "gamma" Power law conversion) ' (4) with a blur mechanism based on 3x3 pixels. Again, in the composite color pixel group, and (~ each of the red, green, and blue pixels), the domain (4) is sequentially updated to each of the color component pixel values. In the case where the pixel value is associated with a single-monochrome or black and white pixel, the pixel values of eight adjacent pixels are processed. In this example, a 4x3 window is used in the first step instead of, for example, the 3x3 window used in the third step, since the 4χ3 window should provide a more reliable way of distinguishing between white and black text. However, it should be understood that 'any size window can be used; and for memory purposes, the smaller the size, the better the two. The first (classification) step in this implementation may be the same as the method used in the previously described method, but is extended for use in a 4x3 pixel window, ie, calculating: the average pixel data value of the set and will have a high The pixel of the batten value of the average pixel data value is represented as a "!" pixel, and the pixel having a data value lower than the average value is represented as a "〇" pixel. In the second (status detection) step, the 3x3 pixel core is used to automatically apply a change to the degree of change to the horizontal or vertical line feature to a greater functional meaning of the diagonal feature. It is necessary to extract fewer individual conditions and it makes the application specific to the situation. It has been found that only three general conditions require detection and application of a 3x3 pixel based filter operation for each condition that is specific to 243988.doc • 25- 201027457. The guest's thin turn ft ancient 呰晷 is described as a 溥 溥 feature on a dark background, with a dark and thin feature pattern on the scene. The relatively simple method of setting the two fine-grained listening conditions for the early pixel pitch involves the summation = the number of "i" type pixels from the view: if the twelve-pixel window contains: one or six with _L "L type Pixels, in which case the ten-pixel window contains less than six .|type pixels, the condition can be defined as a bright feature on a dark background. There is a single pixel pitch of the checkerboard pattern, the text pattern The condition may be by the left three pixels of the four pixels in the center line of the 4x3 view (with alternating pixel classification types, for example, 1 Η or Η 〇) and three pixels above or below the pixels ( There is a reverse alternating pattern, for example, 〇U or 1 〇1). In the third (computing) step, the new data value can be written to the center of the 4χ3 pixel subset from the second pixel on the left. Based on the original data value of the pixel and the original lean value surrounding the pixel H pixel (ie, the leftmost nine pixels of the twelve pixels in the 4x3 subset used in the second step). 3χ3 pixel operation can be The disclosure of RAN Patent Application No. 0701325.3: In short, the overall measure of the appearance of each pixel is calculated based on the weighted sum of its data value in the main image and its data value of eight adjacent neighbors. Then calculate the second overall appearance value of the same subset of pixels, but the neighbors in the pair are zeroed to approximate the effect of the multi-view processor on the subset of pixels. If necessary, by calculating the central pixel data value The new value is 143988.doc -26 - 201027457 p'uw and the weighted sums are normalized and set equal to each other. This equality is illustrated in Figure 1〇. Given the center of silly sounds, the sister of the sister «丫" like the constant new 枓 枓 卩 ^ (7) equation is therefore: ('two (4 called + 43⁄4 + 岣)©3 h (Αή)) + winter + 丨. 1) + household ""!) + household "+1, state" + ... 士[also (four) J+Wo+wh ...'(l-oH-w%,,,)+ household-)+also) μ equation ( 1) where ωι, ωΑω3 are the weighting parameters used, and p(4) is the data value of the pixel at each coordinate in the main image. As in the previous example, once the new value of the center pixel in the 3x3 window has been calculated, this value is written to the input (four) image ready to be input to the multi-view (four) image processing material, and for the next pixel in the input main image. Repeat the entire three-step process until the entire image has been scanned and processed by the window. This method can be optimized by selecting pixel weighting parameters to automatically apply the change of shouting that is greater than the degree of change applied to the horizontal and vertical line features to the diagonal features in the image. This reduction requires the number of specific conditions to be considered in the second (condition detection) step, and as previously described, it has been found that by bright features on a dark background, dark features on a self-colored background, and single- In the three conditions of the checkerboard pattern of pixel pitch, only three different 3X3 pixel based operations are applied to achieve an improved image appearance. In three cases, the weighting parameter of the equation i processing procedure can be determined by: the 2_D Gaussian distribution of the illuminance of the silk pixel according to the distance from the pixel of the 3x3 sub (four), and the surrounding around the Gaussian distribution. The effect of a pixel on a central pixel is as described in Patent Application No. 143988.doc • 27· 201027457 0701325.3. The 2D Gauss of the standard deviation gives ω3=0·4759. For example, use two conditions (secondary) steps with a 像素.5 pixel width weighting parameter 1^0.0240, ω2=〇1〇7〇, and a bright feature on the scene and a dark feature on a white background. These same weighting parameters. However, the degree of change and the general tendency of the processor to enhance the thin (single-pixel) dark or thin sign or the appearance of both can be achieved by using the gamma power law before processing the resulting value by a 3 χ 3 pixel based operation. The function first converts the main image data value into a illuminance value, and the gamma power law function is (for example): L~^D/lS5i Equation (2) where L = illuminance. D = data value (0-255), and γ (gamma) is a power law. If the gamma value (conversion parameter) used in this conversion produces a data value comparison that accurately describes the pixel in the display itself The relationship between the data values and the response values based on the 3 χ 3 pixel operation will maintain the overall illuminance of the dark features and the illuminating features in the main image as observed on the display, while still producing a smoothing effect on the clear image features to prevent # Introducing color artifacts by multi-view handlers. If the gamma value used is lower than the gamma value of the response describing the display's own data value, then the overall trend of the 3x3 pixel based operation described in Equation 1 will encourage the appearance of dark features in the main image. . This is due to the fact that dark pixels with bright neighbors remain dark after being subjected to this processing procedure but bright pixels with dark neighbors are substantially dimmed. If the gamma value produced is higher than the gamma value describing the response of the display itself to the product, then the overall trend based on 3x3 pixels described in Equation 4 will encourage the bright features in the main image. Exterior. This is due to the fact that the bright pixels with the dark phase remain 'shell' after being subjected to the processing procedure, but the dark pixels with bright neighbors are substantially brighter. The situation may be as follows: if the appearance of both the thin feature and the thin feature is excited by the 3×3 pixel-based filter processing program line, the overall appearance of the main image after the multi-view processing program has been applied is improved. In the case where the second (status detection) step indicates that the 3x3 window is composed of an image area containing a shell feature on a dark background, the gamma value can be used in the filter operation, and if the first (condition detection) The measurement step indicates that the 3χ3 window consists of an image area containing a thin dark feature on a bright background, and a low gamma value can be used in the filter operation to achieve the desired effect under both conditions. After applying a 3x3 pixel based filter processing procedure to the pixel data value of the gamma conversion φ, the resulting output value can be converted back to its equivalent new data value using the inverse equation of Equation 2, which is (ie): Ρ=(Ζ/)Χ)χ255 Equation (3) where D is the new equivalent data value and L' is the new illuminance value after processing by the chopper based on 3x3 pixels, and γ is the same power law coefficient as the power law coefficient used in Equation 2. Figure 11 shows a 3x3 pixel based filter operation as described by Equation 1 for two input main image areas (including (a) black diagonal and (b) white 143988.doc -29-201027457 diagonal) The effect of the pre-conversion and post-conversion of the pixel data values is according to Equations 2 and 3' where the gamma values are 1 and 24. From this figure, it can be seen how the choice of gamma value affects how the bright and dark lines are changed in different ways' and why it is necessary to select the gamma value used in the calculation according to the result of the above-mentioned condition detection step, so that Encourage the appearance of both thin and thin features and dark features in the image. The result of the second (status detection) step indicating that the single-pixel pitch checkerboard pattern exists in the region of the main image in which the 4x3 window is sampled in the step can be performed by the equation as described by the following equation Assigning equal weights to the center pixel of the change, and the sum of its four immediately adjacent pixels, and performing a simpler 3x3 pixel-based weighted sum operation in the third (operational) step: P (-,) = Xx Ρ(_〇+ + + Ρ(^+)) Equation (4) The pixel data can be converted by a nonlinear method such as the gamma dependency handler described above before applying the above operation. This second example thereby provides for the increase in the computational resources required for the display (as needed for buffering the ω block of the pixel data value (rather than the W block) and for performing the necessary pixel data changes. At the expense of the processing power of the operation, in a more precise manner than the first example (the amount of unnecessary changes in the image of the main shirt is reduced), the image is processed: the image processing program Any resulting color falseness that is not pleasing to the eye. In the third exemplary implementation of the first embodiment, the pixel may be reused in the first (class) step 143988.doc 201027457 and the second (status) step. Window, and can use 3χ3 pixel window again in the third operation. However, the number of so-called measured conditions in the second step can be increased from three to six throughout the previous example in order to allow the pole = also to simplify the operations performed by the third step, thereby reducing the need to display red computing resources, while The minimum blurring effect of the main image to maintain comparable performance (this increase in the number of so-called measurements from the removal of color artifacts from the final multi-view image allows the blurring performed in all six conditions to be simplified to 3χ3 The standard normalization weighting of the subset of pixels and all pixel weights used therein are all integer fractions of 32, and at any time there is no need to convert the pixel data values non-linearly into illuminance values. In the first (classification) step Thus, the implementation may be the same as the implementation of the previously described example 'ie' calculating the average pixel data value of the subset and representing pixels having data values higher than the average pixel data value as "!" pixels, and A pixel having a data value lower than the average value is represented as a "q" pixel in the second (status debt measurement) step, except by being described previously Programs with the same procedure (with known patterns for checkerboard conditions = comparing the number of types of pixels in other situations) to detect the three main conditions of the previous example (checkerboard pattern, features on bright backgrounds) In addition to the thin and light features on the dark background, the classification of the central pixels of the 3x3 subset to be used in the third: calculation step is also considered to make the number of specific genres from three to six. For example, a center checkerboard pattern having the type "〇" becomes a different condition' in which different specific arithmetic steps are used by the deer for the checkerboard pattern of the center pixel having the type "丨". Figure = U3988.doc • 31· 201027457 shows examples of six detected conditions ("?" in the pixel classification indicates that the pixel type at this location in the subset does not matter to the determined condition). In a third (operational) step, a normalized weighted sum operation is used to calculate a new value of ~ pixels in the sub-market, wherein the different weighting parameters for each of the six different conditions are by the second ( The condition is predicated) the steps are identified. In each operation, the weighting parameter can be an integer fraction of 32 and no non-linear transformation of the pixel data values is required, thereby simplifying the calculation. This process is illustrated in Figure 13, where it has been found that the weighting parameters produce good results in the final multi-view shirt image for each condition. As can be seen from this figure, each of the six operations is a direct normalized weighted sum, except for the condition "white text neighbors" (where negative weighting parameters are used for the corner pixels). This allows a large degree of change to be imposed on the central pixel in the case of a central pixel next to the diagonal, which is needed to remove color artifacts from such areas in the final multi-view image. An example of a circuit design for performing a desired processing procedure is shown in FIG. In addition to the pixel buffer and operation step handlers that have been expanded to have 4χ3 and 3χ3 pixel windows, respectively, it can be seen that the processing procedure described above is similar to that described in FIG. And the operation. For the six different conditions created in the second step, the parameters entered from the scratchpad block are marked as "in the diagram", where the _ _ suffix is used to indicate that the parameter is in the third (operational) step. It can be applied to one of a central pixel, a lateral neighbor, or a diagonal neighbor. For example, if we use the situation as detailed in Figure 13 (where the status = the white text adjacent to "F"), then F0 = 4, Fl = 9 and F2 = -2. 143988.doc -32- 201027457 It should be noted that there are image regions that can cause any of the processing procedures described above to produce new pixel values outside of normal _ (eg, 'G_255) in this case, such new values. Can be simply truncated to the edge. As an alternative to including negative weighting parameters, if it is bad for the specific implementation of the processing program, it can be used for other methods that apply particularly large changes to the input image data under certain conditions, such as In addition to the chopper operation, the amount of data is added to the calculated pixel value or subtracted from the strange data amount, or the average pixel data value of the 4χ3 core can be obtained (for example, in the first step of the processing material) The financial accounting is used as a parameter in the third (calculation) step to allow the degree of change to be adjusted according to the average value. It should be noted that although FIG. 14 will input the image data of the input image, the bit of each color channel is 6 bits. Depth (ie, 18 bits per pixel), but the figure is only an example implementation. 4 The functional processing program illustrated by the figure can be applied to images of any bit depth. Out, the key purpose of the second (status predicate) step is to use an image area consisting of bright features on a dark background and vice versa 'because it has been found that these different areas are required to be in the third (operational) step Expected Parameters to get the best results. The type of LCD used can be used as a key example of these conditions, ie if the image contains black text on a white background, information about this condition can be entered into the coffee. 'This information, for example, is embedded in the form of the input image data or as part of the display mode selection made by the user. In this case, this information can be entered into the conditional predicate handler to allow 143988.doc -33· 201027457 Bypassing the first-classification step and automatically selecting the correct parameters. In the embodiment of the present invention, 'the main image in the LCD control electronics 不 without any changes to the input image (4) The set 7 and the sub-image data set 8 execute a multi-view processing program. Then, in the additional image processing apparatus U, the illuminance value of the output multi-view image is compared with the input main by the compression of the first stage by the multi-view processing program 12. The image visibility value is used to test any defective artifacts caused by the processing material. Before the corrected multi-view image data set is output to the display, the additional image processing device 13 Performing some correction on the multi-view image to remove the visibility of the artifact. The processing flow for this operation is illustrated in Figure 15. In the exemplary method of the second embodiment, when the multi-view image data and the original image are When the data 7 is input to the additional image processing device 12, the core is used to sample each of the two images - the pixels and their neighbors immediately adjacent. The pixel values are associated with single-monochromatic or black and white pixels. In the case where m is adjacent to the pixel value of the pixel. The processing program is sequentially applied to each of the color component pixel values of the image in the case of a composite color pixel group (each of which includes red, green, and blue pixels). The normalized weighted sum "A" of the pixel data values in the core of each image is then calculated in a process similar to the processing procedure illustrated in Figure 10, wherein the weighting is based on the position of each pixel in the core. Applied to this pixel. This type of configuration is illustrated in Figure 16, which uses three different weighting factors called ω ζ and %. Comparing the normalized weighted "pixel appearance values" of the corresponding pixel groups of each image and if a difference is found, the core 143988.doc -34 - 201027457 pixels in the multiview image are further derived from each image core The weighted sum mv is the normalized weighted core from the illuminating image 'from the central pixel from the core of the multi-view image given by the normal input from the compressed input main image ^ lr(x,y) · ΡΜ= P (x, y) ω3 ~ Amv) Equation (5) ❹ where ω3 is the weighting factor of the center pixel of the core. : The new center pixel value has been written to the multiview image, the core continues with another pixel, and the calculation is repeated, with the new pixel 2 from the previous step being used for the neighboring pixel value in the new core. In this way, the correction of the multi-view image pixel values is considered in the subsequent calculations and the image is not overcorrected. Repeat = the program until all the central pixels of the core have scanned the pixels of the image. In order to minimize the change in the output multi-view image caused by this processing program while minimizing the image artifacts in the output image, it is necessary to change the area of the main image system. For these reasons, it is also necessary to make the weighted core and the ubiquitous-main 昙 "multiple π u ^ - 1 main scene / image area does not change with the step (attributed to the multi-view image imposed by the multi-view processor) The patterning is shown in Fig. 17. The example of the average-area of the compressed main image illuminance value and the equivalent area of the output multi-view image caused by the processing procedure described in the fourth (4) of the spoofing request. As can be seen from this figure, the 3x3 core at step (4) 可 can have a weighted sum of weighted sums different from the core at step (η+1) 15 'regardless of the original image system, both. .doc -35· 201027457 The weighted value of the pixels in the heart, which (4) should be equal weighted core sums of the regions of the multi-view image of the uniform region in the input main image. Examples of such weighting are ωι=1, ω2 = 2 and ω3 = 4. This provides an image processing method by removing the color artifacts otherwise caused by the multi-view processing light sequence while minimizing the degree of change imposed on the input image (especially the blur of the fine features) To improve the display in multi-view display 7, The perceived quality of the image. The embodiment of the present invention provides a plurality of options for balancing the overall perceived quality of the output multi-view image with the computational resources required for the processing.瘳"It is intended that although specific examples of the embodiments provided herein are specific examples of the 3-processing procedures, they have been found to produce good results for different source specifications. For any particular available resource specification The optimal geographic program will vary from application to application. Therefore, specific aspects of the embodiment are desired (such as the precise method of pixel classification used in the step, the number of characteristic pixel patterns measured in the second step), and The type, or the exact - ten calculations performed in the second step of the ▲ embodiment to produce image data changes, will vary for the parent-implementation, and when the specific application is known to be known to the skilled practice It will be obvious and therefore will be within the scope of the present invention. The embodiment of the month provides special use for removing the patent No. 0804022.2 by the patents such as GB-A· and B. The described process-order image artifacts caused by color artifacts. gb_a_2445 and its non-GB counterparts describe the machine _ used in the dual view display for processing color artifacts/modes. The present invention provides a first blur - 143988.doc • 36 - 201027457 filter 'which is specifically designed to counteract the color artifacts caused by the software privacy process, with the result that minimization is introduced into the blur of the main image. However, it should be understood that the present invention is not intended to be limited to software privacy, and may be applied to correct artifacts introduced by any image processing steps that process received pixel data to produce multi-view effects to a viewer. The present invention is applicable to the scenario described in GB-A-2445982, wherein the processing steps considered by the technique according to an embodiment of the present invention are as follows: wherein the interleaving represents different A collection of pixel data received by another image to present different images to viewers located in different respective viewing positions. Two main embodiments are described above: a first embodiment in which the main image is blurred with reference to itself only before the multi-view processing program is executed on the main image, and the multi-view processed image is compared with the input main image and then relies on comparison A second embodiment of correcting images through multi-view processing is corrected. In the first embodiment, three examples are provided. It involves three steps: φ classify input data, pattern matching, and then apply appropriate fuzzy operations. All three variations have a different balance between performance and ease of implementation/resource requirements. Some differences between the method embodying the present invention and the method described in GB-A-2445982 and its non-GB counterpart are: GB-A-2445982 and its status detection filter in non-GB counterparts Towards, that is, the blur depends only on the pixel being processed and the pixel value of the pixel to the right. A filter in accordance with an embodiment of the present invention uses pixels to the right, to the left, or both to determine a new value. 143988.doc -37· 201027457 A filter in accordance with an embodiment of the present invention is capable of processing black lines, white lines, edges, and checkerboards in a completely different manner. The filter in GB-A-2445982 and its non-GB counterparts has only one specific condition. GB-A-2445982 and its non-GB counterparts use a differential approach to classify pixels in the core that are similar or strongly different from the pixels being processed. This is insufficient for an embodiment of the present invention because adjacent pixels are more important in performing which operations have higher or lower values than the key pixels, rather than merely being close or different. In this regard, in one embodiment of the invention, the new pixel data is derived for the pixel in a manner that distinguishes at least one of the pattern of pixel data from its respective inverted 瘳 pattern, which is not the case with the technique of gb_a_2445982. Some differences between the second embodiment described herein and the second method of GB_A 2445982 and its non-gb counterpart are: This second embodiment uses the actual output multiview image for comparing pixel appearance and not assumptions. Parallax barrier configuration. Pixels are not always set

The other pixels are zeroed to double their value, and the pattern of _〇 pixels is reversed with each movement of the core. Q This second embodiment writes the correction to the image, steps the core, and then passes the corrected pixel values used in the previous steps to calculate a new weighted sum. In this way, the negotiation is being "carryed" (carr > 0, which is different from that described in GB-A-2445982 and its non-GB counterparts. It should be understood that T controls the above by a program operating on a device or device. One or more of the components may be stored in a computer. The operating program may be stored on a computer readable, or may be, for example, embodied in a downloadable data signal such as 143988.doc -38 - 201027457 provided on the Internet website. The scope of the appended claims is to be understood as covering the operating program itself, or as a record on the carrier, or as a signal, or in any other form. To better understand the essence of this (4) And the advantages, reference should be made to the detailed description taken in conjunction with the accompanying drawings. After the description of the present invention, it should be apparent that the same manner can be varied by many I. These changes should not be considered All such modifications as would be apparent to those skilled in the art are intended to be included within the scope of the following claims. Illustration of the standard layout of the control electronics of the crystal display; Figure 2 is a description of the processing flow of the f-material in the standard single-view BLCD; = in the multi-view coffee of the known type in the private or multi-view mode Description of the Becco process flow; Figure 4 is a schematic diagram showing the output pixel data from the region operation @显处理程序 of the known multi-view image data; Figure 2 shows the diagonal from the main input image. Schematic diagram of the output of the known multi-view display processing program of the area and the sub-input field-field operation as a poor material '· 々 鸨 像素 图 图 图 Figure 6 is a known multi-view display for the main and sub-transmissions: Handling the map; > Viewing the image data processing flow in the device is shown in Figure 7 to illustrate that in the first step, the seventh & only case of the brother one (classification) step will be the main input 1439S8.doc • 39· 201027457 A diagram of a preferred method for classifying pixels in a 4x1 pixel sampling window as "high" (1) or "low" (〇) based on their image data values; Figure 8 is shown in the second embodiment of the second embodiment. In the step A table of different operations performed in the third step in the other ten different situations; FIG. 9 is a diagram showing a possible hardware implementation of the first embodiment; and a second (operation) in the second example. FIG. FIG. 11 is a diagram illustrating the results of the calculations in FIG. 10, in which different pre-conversion and post-conversion data values; "two input data sets U" and (8) The gamma parameter is used to describe the example of each of the six different conditions in the third example of the first embodiment, which is shown in FIG. An illustration of the 7 j stomach b operation performed on the input main image material in the third step in each of the conditions identified in the embodiment of FIG. 12; FIG. 14 is a diagram showing possible hardware implementation of the first embodiment Figure 15 is a diagram showing the lcd characterization process of the second embodiment; Figure 16 showing the potential of the image data in the image and the image in the image is a diagram illustrating the calculation used in the second embodiment; 17 to illustrate the calculation of Figure 16 depends on the loss The results of the different positions of the core and the multi-view primary video regardless of the input lines were - illustration. [Main component symbol description] LCD control electronics LC panel 143988.doc -40- 201027457

3 4 5 6 7 8 9 10 On-axis viewer Off-axis viewer Wide viewing area Main image data Main image data Sub-image data Limited cone Image processing device Image processing device Image processing device 143988.doc -41 -

Claims (1)

201027457 VII. Patent application scope: One for processing one display device The image of the panel is not displayed, and includes: receiving image representation pixel data of the image; :- - processing step, processing the pixel data to produce a plurality of viewers _ effect n second processing step Each of the plurality of subsets of the pixel data, wherein each subset includes the same number of pixel groups and each pixel group includes at least - pixels, depending on the pixel groups of the subset a pattern of pixels and a new pixel data for at least one of the groups of pixels of the subset, the derivation of the new pixel data being capable of distinguishing at least one of the pattern from its reverse pattern Implement it. The method of claim 1, wherein the first processing step is performed in consideration of the nature of the display panel to introduce the following change: a change in illumination on the axis, which tends to be localized to a view via spatial averaging The ground balance and therefore will not be perceived by the viewer on the axis; and the change in the out-of-axis illumination 'it will not be spatially averaged to the off-axis viewer and will be locally balanced and therefore will be the off-axis view The person is aware. 3 . A method for processing image data displayed on a display panel of a display device, comprising: receiving image pixel data representing an image; and processing the property in consideration of a property of the display panel in a first processing step Pixel data 'to introduce the following changes: changes in illuminance on the axis, which tend to be locally balanced by one-axis view via spatial averaging and therefore will not be perceived by the viewer on the axis; and off-axis illumination The change 'it will not be spatially averaged and will be localized to the off-axis viewer and will therefore be perceived by the off-axis viewer; and in a second processing step 'for the pixel data Each of the plurality of subsets, each of the subsets of 2 includes the same number of groups of pixels and each pixel group includes at least one pixel, depending on the pattern of pixel data in the group of pixels of the subset New pixel data is derived for at least one of the groups of pixels of the subset. 4. The method of claim 2 or 3 wherein, in the first processing step, one of the pair of pixel groups having a single-illuminance having a single-illuminance is perceived by a viewer as being in the axis Any increase in illuminance introduced above is substantially matched by substantially equivalent illuminance reduction for one of the other groups of pixels of the pair. The method of claim 4, wherein the illuminance of one of the pair of pixel groups is close to - the maximum illuminance or the illuminance of the pair of pixels is close to a minimum illuminance. The method of clause 1 or 3, wherein deriving the new pixel data comprises selecting a wave filter depending on the pattern of pixel data, and filtering the selection to at least some of the pixel groups of the pixel phase of the subset Export the new pixel data. I Π, the method of item 1 or 3, which comprises comparing the pattern of pixel data to * predetermined patterns, and depending on the comparison step, new pixel data. The water is equal to the method of claim 7: wherein the method of deriving the new pixel data comprises (4) the library: selecting a filter by the β-ray pattern of the material and filtering the selected value for the subset At least some of the pixel groups - 143988.doc 201027457 derives the new pixel data, and a corresponding pixel pattern is determined corresponding to the respective filter phase. Wherein each of the predetermined patterns is associated with and the method is included in the comparing step and selecting an associated filter for deriving the 9. ❹10. In the group to which the method pixel data of claim 7 is directed Each of them determines the brightness of the brightness of the pixel group. The comparison step includes: distinguishing between a higher brightness and a lower level for the new metric, the pixel group, and the at least one pixel grouping of the pixel group relative to the at least one immediately adjacent one metric. 12. The method of claim 7, comprising: assigning, to each of the groups of pixels in the subset, the pixel group to one of a set of pre-levels according to pixel data of the group of pixels; And in the comparing step, comparing the pattern of the assigned levels to the predetermined patterns. Such as. The method of claim 1G, comprising calculating a metric based on the pixel data of the pixel groups of the subset of the subsets of the subset, and wherein performing the calculation based on the calculated metric The step of assigning the group of pixels to one of the preset levels. A method for processing image data displayed on a display panel of a display device, comprising: receiving image pixel data representing an image; in a first processing step, processing the pixel data to generate a image to a viewer a multi-view effect; and in a second processing step, for each of the plurality of subsets of the pixel data, wherein each subset comprises the same number of pixel groups and each pixel group comprises at least one pixel: based on The pixel 143988.doc 201027457 of at least some of the pixel groups of the subset is a measure - for each pixel group in the subset, the root image: the pixel data of the group two and depends on The calculated metrics are sent to - the predetermined level set; the pattern of the assigned level is compared with the plurality of singular names; and the new pixel data that depends on the comparison step. 4 At least one of the groups of pixels is derived 13 14 15. 16. 17. 18. 19. 20. For example: the method of claim 12, where the metric is an average value: the method of claim 12 Package The group of pixels of the pixel-based data and the calculated oct yield Xi Dirty "In a predetermined feed hog Beijing Pui compares the pixel group are assigned to the top-level set of piece goods one of those. The method of any of item 1 or 12, comprising: for example, converting the pixel data to a illuminance value for use in a β-emphasis step. The method of claim 15, which comprises at least one conversion parameter determined by the μ pattern of the "group" of the prime group, such as the request item 1, 3 or 12φ pixel group electricity #phase_method, wherein The subsets of the subsets are connected and extend substantially in the - dimension. As claimed in claim 1, 3 or 12, the τ5 pixel group comprises a concatenation: method, wherein the subsets are connected to the one-dimensional configuration = the method of any one of items 1, 3 or 12, wherein the plurality of subsets are separated from the other subset by a pixel group, such as the cup of claim 1, 3 or 12.夕# The method of any of the following 12, wherein the step of deriving the new pixel knowledge Γ step uses the processing performed in the processing step 143988.doc 201027457, such as cutting the image features of I, (4) 2 The pattern of pixel data - which takes into account the representation of the imagery. These image features tend to cause artifacts due to the derivation of the new pixel processing at the first:::. 22. The request is executed in the step. 】, 3 or 12 - the term contains the decision to derive a new pixel f material for the extraction step The packet is at least - each of the pixel groups = a pixel group or a pattern of one of the pixel data / a non-image feature in the processing step, the image feature is processed in the first And tend to cause artifacts. 23. A method of processing a 袅-士 蛊 in any of items 1, 3, or 12, wherein in the deriving step, pixels of a dark feature on a relatively bright background are processed The method of processing the data in a different manner - the pixel data (4). The method of any one of the items of the pixel, wherein the deriving step includes the respective pixel data. Determining, by the pattern material, whether the at least one pixel group or each of the at least one pixel group forms at least a portion of at least one of the underlying image features: having a single pixel group a dark or bright line of a width; a group of pixels adjacent to a dark or bright line having a width of one of the groups of pixels; a left or edge of a dark or bright line having a width of one of the two groups of pixels ; with one or two pixel groups - a dark and bright checkerboard pattern of spacing; and a pair of diagonal lines. The method of any one of claims 1 to 3, wherein the second processing step is performed prior to the first processing step. 143988.doc 201027457 26. The method of claim 3, wherein the second processing step is performed after the first processing step. 27. A method as claimed, 3, or 2t any - ^ ^ ^, wherein the -i _ material in the group of pixels of the subset. The first pixel group is used to derive the new pixel. 28. A method for requesting any of the items i, 3, or 12, the 勹人~A v item, wherein the parent pixel group includes a color component 偯 test 夕 ^ composite color pixel Axis, the method is applied to each of the color component pixels by a person. 29. The method of claim 28, wherein the composite color pixel group comprises red, green, and blue component pixels. 30. as claimed in any of claims 1, 3, or 12. a method of ♦ 士, + ^ 任任, in which the first step is performed to interleave the received pixel data of the different images of the different images of the sequel to the different images of different images. 3 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. · · · · · · · · · · · · · · · · · · · · · · · · · 33. A program for controlling a device to perform the method of any one of the claims 12. 3 34. The program of claim 33 is carried on a carrier medium, the carrier medium being a Storage medium or a transmission medium. ', 143988.doc -6 -