A method for reducing crosstalk in anaglyphic 3D images

Abstract

A method for reducing crosstalk in anaglyphic 3D images. The method includes receiving a left eye image and a right eye image to be viewed with anaglyphic lenses to provide a three-dimensional (3D) image and calculating brightness differences between the left eye image and the right eye image. One or more difference images based on the brightness differences are generated and a cancelling colour that is complementary to one or more colours causing crosstalk to the one or more difference images is applied to produce one or more corresponding cancelling coloured difference images. Values of the one or more difference images are subtracted from the one or more cancelling coloured difference images based on the appropriate channels in the cancelling colour for each lens of the anaglyphic lenses to produce one or more corresponding refined images, and the one or more purifying images are combined with each of the left and right eye images to produce a modified image to be viewed with the anaglyphic lenses to provide a three- dimensional (3D) image.

Description

A METHOD FOR REDUCING CROSSTALK IN ANAGLYPHIC 3D IMAGESTECHNICAL FIELD[1] The present invention relates to a method for reducing crosstalk or ghosting in anaglyphic three-dimensional (3D) images.BACKGROUND[2] Any references to methods, apparatus or documents of the prior art are not to be taken as constituting any evidence or admission that they formed, or form part of the common general knowledge.[3] In the field of stereoscopic 3D imaging, anaglyph technology is a popular choice for immersing viewers in three-dimensional visuals. This technique employs coloured filters, often using red and cyan or other combinations (such as blue and yellow, or green and magenta), that cooperate with images that are offset and specially coloured according to the filters, to create depth and dimension (see Figures 1 and 2, for example). Figure 2 illustrates the image that will be seen in the left (above) and right eye (below) when viewing image P1 in Figure 1 using red and cyan filtered anaglyph lenses 100. This picture is in grey scale for the purpose of showing what will get through the filter. However, anaglyph technology can provide a grey or washed out viewing experience.[4] Attempts to provide more vibrancy to the 3D images include using brighter colours. An example of this is shown in Figure 3 where image P2 is viewed using red-cyan anaglyph lenses 100. The use of brighter colours is desirable for various reasons. They can add vibrancy and realism to 3D scenes, enhancing the overallvisual experience. Bright colours can convey emotions, highlight important elements, and make objects appear more lifelike. Moreover, in many creative contexts, such as entertainment, advertising, and education, the ability to incorporate bright and vivid hues is essential for capturing attention and creating memorable 3D content.[5] However, these brighter colours result in ghosting or crosstalk, which occurs when certain colours in an anaglyph image inadvertently penetrate both eyes through both filters which disrupting the intended 3D effect. This adversely impacts, and often ruins, the immersive experience expected from the anaglyphic glasses. An example of this ghosting is shown in Figure 4 where some of the unwanted colour is getting into each eye because it is too bright. This causes a double image to be seen in both eyes which will cause the 3D effect to fail. This presents the problem with using bright colours that can appear in both eyes. This picture shows the view for the left eye above, and the right eye below seen through a filter (left - red, right - cyan) over each eye. The pictures are in grey scale to represent the images seen through each filtered eye.[6] Thus, there is a need for an improved way to produce stereoscopic images for viewing with anaglyphic glasses.SUMMARY OF INVENTION[7] In an aspect, the invention provides a method for reducing crosstalk in anaglyphic 3D images, the method including: receiving a left eye image and a right eye image to be viewed with anaglyphic lenses to provide a three-dimensional (3D) image; calculating brightness differences between the left eye image and the right eye image;generating one or more difference images based on the brightness differences; applying a cancelling colour that is complementary to one or more colours causing crosstalk to the one or more difference images to produce one or more corresponding cancelling coloured difference images; subtracting values of the one or more difference images from the one or more cancelling coloured difference images based on the appropriate channels in the cancelling colour for each lens of the anaglyphic lenses to produce one or more corresponding refined images; and combining the one or more refined images with each of the left and right eye images to produce a modified image to be viewed with the anaglyphic lenses to provide a three-dimensional (3D) image.[8] Preferably, calculating the brightness differences includes subtracting values of the right eye image from the left eye image and subtracting values of the left eye image from the right eye image.[9] Preferably, the method includes adjusting the combined subtracted image or the subtracted left and right eye images. Preferably, the adjusting includes a thickening operation and / or a fading operation. Preferably, the thickening operation includes thickening the combined subtracted image or the subtracted left and right eye images and the fading operation includes fading edges of the combined subtracted image or the subtracted left and right eye images.

[0010] Preferably, the thickening includes adding outlines or borders to one or more portions of the combined subtracted image or the subtracted left and right eye images. Preferably, the thickening includes identifying one or more pixels having a brightness greater than one or more neighboring pixels. Preferably, adding outlinesor borders includes adding one or more pixels about the identified one or more pixels having a brightness greater than the one or more neighboring pixels.

[0011] Preferably, the fading includes iteratively selectively reducing the intensity or brightness of pixels along the edges of the one or more difference images.

[0012] Preferably, the left and right eye images are greyscale images (i.e. single colour channel images). Alternatively, the left and right eye images are multichannel (i.e. colour) images and the method includes converting the left and right eye images to single greyscale images.

[0013] Preferably, the method includes identifying a colour in each of the left and right eye images causing crosstalk (the crosstalk colours). Preferably, the method includes identifying a cancelling colour for each crosstalk colour. Preferably, the method includes combining the cancelling colour for each crosstalk colour to form a composite cancelling colour. Preferably, the applying a cancelling colour includes applying the composite cancelling colour to the combined subtracted image.

[0014] In another aspect, the invention provides a modified anaglyphic 3D image generated by: calculating brightness differences between a left eye image and a right eye image of an original anaglyphic 3D image; generating one or more difference images based on the brightness differences; applying a cancelling colour that is complementary to one or more colours causing crosstalk to the one or more difference images to produce one or more corresponding cancelling coloured difference images; subtracting values of the one or more difference images from the one or more cancelling coloured difference images based on the appropriate channels in thecancelling colour for each lens of the anaglyphic lenses to produce one or more corresponding refined images; and combining the one or more refined images with each of the left and right eye images to produce the modified anaglyphic 3D image to be viewed with the anaglyphic lenses to provide a three-dimensional (3D) image.

[0015] Preferably, the image is printed on a display media having an anaglyphic alignment indicia printed thereon for providing positioning and alignment feedback to the user to correctly orient and position the display media for optimal viewing.BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Preferred features, embodiments and variations of the invention may be discerned from the following Detailed Description which provides sufficient information for those skilled in the art to perform the invention. The Detailed Description is not to be regarded as limiting the scope of the preceding Summary of the Invention in any way. The Detailed Description will make reference to a number of drawings as follows:Figure 1 a red circle and a blue circle that have been combined, with magenta in the areas where they overlap. This picture uses pure red and pure blue. These are colours that will only go through the correct filters of a red-cyan anaglyph viewing system;Figure 2 illustrates the image of Figure 1 as it will be seen in the left (above) and right eye (below). This picture is in grey scale for the purpose of showing what will get through the filter;Figure 3 shows circles made of orange for the left eyes view, and cyan for the right eye, where they overlap the image will be white. These colours pass through both filters (i.e. crosstalk or ghosting) rather than being limited to only appear in one filter;Figure 4 illustrates how some of the unwanted colour is getting into each eye because it is too bright. This causes a double image to be seen in both eyes which will use the 3D effect to fail. This presents the problem with using bright colours that can appear in both eyes. This picture shows the left eye above, and the right eye below. The pictures are in grey scale to represent the images seen through each filtered eye;Figure 5 is a flowchart showing the steps of a method for reducing crosstalk in images for anaglyphic 3D;Figure 6 shows left (orange) and right (cyan) eye images that cause crosstalk in red-cyan anaglyph filters;Figure 7 illustrates the images of Figure 6 converted to greyscale;Figure 8 illustrates the difference images for the left and right eye images;Figure 9 illustrates a combined difference image generated by combining the left and right eye images of Figure 8;Figure 10 illustrates the combined difference image having a thickening operation applied;Figure 11 illustrates the combined difference image of Figure 10 having a fading operation applied;Figure 12 illustrates the combined difference image of Figure 11 having the composite cancelling colour applied;Figure 13 illustrates the combined difference image of Figure 12 having undergone a subtraction operation based on the left eye difference image;Figure 14 illustrates the combined difference image of Figure 14 having undergone a subtraction operation based on the right eye difference image to generate a refined image;Figure 15 illustrates the combined original left and right eye images and the refined image from Figure 14 to generate a modified image to be viewed with the anaglyphic lenses to provide a three-dimensional (3D) image;Figure 16 illustrates the original image viewed through anaglyphic glasses showing how the user experiences the image in each eye in greyscale;Figure 17 illustrates the modified image viewed through the anaglyphic glasses showing how the user experiences the image in each eye in greyscale;Figures 18 to 20 illustrate an image of dinosaur having the crosstalk reducing method and an optional inversion operation applied;Figures 21 to 24 illustrate an image displayed medium and the image applied to the display medium for viewing using an alignment indicia for guiding a user to correct orientation and optimal viewing.DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

[0017] Figure 6 to 24 illustrate methods for reducing, and in some embodiments, eliminating, crosstalk or ghosting in anaglyph 3D images to allow brighter colours tobe used in the anaglyph images by identifying cancelation colours that effectively hide unwanted colours and applying them in the image, thereby allowing the viewer to see a 3D effect with brighter and more vibrant colours without visual interference.

[0018] The method 1 for reducing crosstalk in anaglyph 3D images is described below.

[0019] At box 2, the method includes receiving left eye and right eye images 101a, 101b to be viewed with anaglyphic lenses to provide a three-dimensional (3D) image. These left eye and right eye images may be generated from an original 2D image that is separated into left and right images and offset from each other for stereoscopic 3D purposes or otherwise provided or received in some way. The left eye and right eye images are originally multi-channel (i.e. colour) images (see Figure 6) but may be converted to single channel (i.e. greyscale) images for the purposes of this method, although this is not essential.

[0020] An example is shown in Figure 7 where the left eye image and the right eye image have been converted to greyscale.

[0021] At box 4, a colour in each of the left and right eye images causing crosstalk (the crosstalk colours) may be identified.

[0022] At box 6, a cancelling colour for each crosstalk colour is identified. The cancelling colour is complementary to the crosstalk colour. For example, if the crosstalk colour is green, the complementary cancelling colour is magenta.

[0023] Below is an example of one way to calculate the cancelling colours for each crosstalk colour. In this example, there are two colours: (1) First Colour: RGB(255, 127, 39); and (2) Second Colour: RGB(108, 225, 220). These colours are shades of orange and cyan, matching the colours of the image shown in Figure 6.

[0024] For the First Colour (RGB: 255, 127, 39), the complementary colour can be found by subtracting each colour component from the maximum intensity of 255. The resulting complementary colour is RGB(0, 128, 216). This is a shade of cyan.

[0025] For the Second Colour (RGB: 108, 225, 220), we follow the same process, subtracting each component from 255. The complementary colour for the second colour is RGB(147, 30, 35). This is a dark shade of red.

[0026] These complementary colours (the cancelling colours) can be used for effectively cancelling the crosstalk colours leaking into / through the incorrect lenses. They help minimize the visibility of the original colours when viewed through appropriate filters or in specific contexts, achieving the desired colour cancellation effect, which will be described in more detail below.

[0027] At box 8, the cancelling colour for each crosstalk colour may be combined to form a composite cancelling colour. This step is optional in some embodiments which will become clear later.

[0028] At box 10, brightness differences between the left eye image and the right eye image are calculated.

[0029] This calculation may take the form of a subtraction of the values of the right eye from the left eye. (e.g., if right eye was 50% brightness and left eye was 90% brightness, then 40% brightness would remain, if the right eye were 100% brightness and the left eye was black (0% brightness) then a value of 0 would remain. In such an embodiment, the values would be clipped or limited to no lower than 0 as negative values have no use in this operation.

[0030] At box 12, one or more difference images 102, 104 are generated based on the brightness differences calculated at box 10.

[0031] An example of the difference images is shown in Figure 8.

[0032] At box 14, the two difference images 102, 104 may be combined into a combined difference image 106. It will be noted that this step is optional. Alternatively, the combined difference image may be generated directly from the calculations of the brightness differences at box 10.

[0033] An example of the combined difference image is shown in Figure 9.

[0034] At box 16, the combined difference image 106 (or the two difference images 102, 104 from Figure 7, in some embodiments) is adjusted using image enhancement operations. These adjustments are intended to optimize the visual presentation of the anaglyph images, ensuring that the intended colours and depth cues are perceived correctly by the viewer. The following description will reference the combined difference image but the steps and techniques described can be used on the two difference images to achieve the same results.

[0035] A first image enhancement operation includes applying a thickening operation to thicken portions of the combined difference image.

[0036] The thickening includes adding outlines or borders to one or more portions of the combined difference image. This can be achieved by identifying one or more pixels having a brightness greater than one or more neighboring pixels and adding one or more pixels about the identified one or more pixels having a brightness greater than the one or more neighboring pixels.

[0037] In one preferred method, the thickening is determined and achieved by conducting a pixel-wise analysis and choosing the pixel that is brightest from its surroundings and adding the above-described outlines or borders about that pixel. When this operation has been repeated multiple times with multiple passes the image will “thicken”. An example of this thickening is shown in Figure 10 in image106a. The amount of thickening that is needed shall depend on the resolution of the screen.

[0038] A second image enhancement operations including applying a fading operation to fade portions of the combined difference image.

[0039] The fading operation may include selectively reducing the intensity or brightness of pixels along the edges of the combined difference image.

[0040] This fading operation may be iterative, with each iteration further reducing the intensity or brightness of pixels along the edges.

[0041] The fading operation may be controlled or implemented based on predetermined parameters to achieve a desired level of edge softening while preserving the overall integrity of the combined difference image.

[0042] It will be appreciated that the fading operation can be implemented using any known technique.

[0043] In one embodiment, the fading operation is performed in a pixel-wise manner by operating on each pixel in the following way. Working pixel by pixel, first, select the brightest neighbour of the present pixel and reduce the brightness or intensity of that brightest neighbouring pixel. If the reduced value of the neighbouring pixel is higher than the value of present pixels plus 3% then replace the current pixel with the new brightest pixel neighbour minus 2%. This shall be repeated as many times as is required to get the desired effect. Once again, this depends on the quantisation of the colour channels being used and the screen resolution. An example of the fading operation having been applied to the combined difference image can be seen in Figure 11 in image 106b.

[0044] At box 18, one or more cancelling colours that is complementary to one or more colours identified as causing crosstalk in the anaglyph image is applied to the combined difference image 106.

[0045] The cancelling colour may be a composite cancelling colour that is a mix of cancelling colours identified for each of the left eye image and right eye image to complement the colours causing crosstalk or ghosting in those respective images.

[0046] Alternatively, a different cancelling colour may be applied to each of the left eye and right eye images where the cancelling colour applied is the complement of the colour identified in each of the left eye and right eye images that causes the crosstalk.

[0047] An example of the application of a composite cancelling colour to the combined difference image 106 that has undergone thickening and fading is shown in Figure 12 in image 106c. The composite cancelling colour is a mix of red and green.

[0048] The application of the cancelling colour to the combined difference image 106 may involve adjusting the colour channels of the combined difference image 106. For example, in the illustration in Figure 12, the blue channel is removed (i.e. the B in RGB is set to 0) and the red (R) and green (G) channels in the image are adjusted based on the percentages of the cancelling colours identified for each of the left eye and right eye images.

[0049] For example, if the cancelling colour was 62% red and 53% green then the individual pixel values (i.e. the values of the red and green channels) of the pixels in Figure 12 would be multiplied by these percentages respectively. It should be noted that this operation is applied to each pixel individually so that the entire combined difference image is adjusted.

[0050] At box 20, values of the combined difference image 106 (i.e., the unaltered combined difference image) are subtracted from the cancelling coloured combined difference image based on the appropriate channels in the cancellation colour for each lens of the anaglyphic lenses to produce a refined image 108. In embodiments where the two difference images are not combined, this step would produce two refined images (a left eye refined image and a right eye refined image).

[0051] As an example, a subtraction is performed whereby values are subtracted based on the difference image for the left eye image from the cancelling coloured combined difference image and based on appropriate colour channels in the cancellation colour for the left lens (i.e., red lens) of the anaglyphic lenses. This can be a total subtraction or the values of the difference image for the left eye image can be reduced or adjusted before subtraction. In this example, the values of the green and blue channels of the difference image for the left eye image were subtracted so that the final refined image 108 (shown in Figure 14) contains less cyan (G+B). The result of this first operation can be seen in Figure 13 in image 106d. A similar subtraction is performed by subtracting values based on the difference image for the right eye image from the cancelling coloured combined difference image and based on appropriate colour channels in the cancellation colour for the right lens (i.e., cyan lens) of the anaglyphic lenses. In this example, the values of the red channel of the difference image for the right eye image were subtracted so that the refined image 108 contains less red (R). The result of this operation can be seen in Figure 14.

[0052] It will be understood that these last two operations have no specific required order. These operations are performed to “purify” or colour optimise the images. The difference images are used to prevent or limit optimisation in areas where both colours overlap.

[0053] At box 22, the refined image 108 will be combined with the left eye and right eye images (i.e., the original coloured left eye and right eye images) to produce a modified image to be viewed with the anaglyphic lenses to provide a three- dimensional (3D) image with reduced crosstalk.

[0054] This combination step can be completed by adding together the values in each channel individually. All content from all red channels shall be added together by an addition of values. The same will apply with the green and blue channels. This operation would be on the pixel level with each individual pixel undergoing a channel-wise addition. In some embodiments, the red and green channels in the left eye and right eye images may be reduced as the values approach 100% very quickly. The 3D image with reduced crosstalk is shown in Figure 15.

[0055] As a way to compare the outcomes, Figure 16 shows the original left and right eye being combined as a stereoscopic anaglyph image. It also shows the ghosting. This picture shows how, because the cyan and orange are very bright, they come through each eye and so the images doubles and the human brain will not comprehend the image as having depth. Figure 17 shows the same image with this present method applied. We can see how the orange and cyan only appears in the correct eyes and vanishes away in the incorrect eye.

[0056] In an optional step at box 24, the 3D image may be inverted. An example of an image of a dinosaur having the above method applied and the optional inversion step applied is shown in Figures 18 to 20.

[0057] Stereoscopic 3D images produced using the methods described herein may be printed onto display media, such as paper or cardboard. In such cases, it is important that the image be viewed from the correct viewpoint, otherwise the effect is adversely impacted and can be ruined entirely. Alignment indicia may be provided onthe display media to guide or assist a user with correctly aligning the display media and their eyes. An example of the alignment indicia is shown in Figures 21 to 25.

[0058] In the illustrated embodiment, the display medium takes the form of a trapezoid-based open box 112 having no front or ceiling panel. However, the display media may take any form.

[0059] The alignment indicia takes the form of a stereoscopic image 114 in the form of an irregular circle (an oval shape) in the illustrated embodiment could be any shape or object. In use, the viewer is advantageously prompted to interact with the anaglyph image and display media by adjusting their position or the position of the stereoscopic image of the alignment indicia itself until the circle (or otherwise) appears to be round and directly facing them.

[0060] In some embodiments, the alignment indicia is a stereoscopic image configured to appear as a regular shape or symmetrical shape about at least one axis when viewed through anaglyph filter lenses from an optimal or near-optimal position relative to the display media.

[0061] In some embodiments, the alignment indicia is a stereoscopic image configured to appear as a predetermined shape or object. The predetermined shape or object may be indicated or referenced on the display media to guide or assist the user through a reference image 116.

[0062] As can be seen from above in Figure 22, the stereoscopic image 114 is irregular or stretched out but becomes a regular shape (or symmetrical about one or more axes) when viewed from the optimal position (see Figure 23).

[0063] This provides useful positioning feedback such that when the viewer follows the instructions and aligns themselves or the alignment indicia image correctly, the circle will appear round and properly oriented from their viewpoint. This serves as avisual indicator that they have positioned themselves or the image correctly for 3D viewing.

[0064] Importantly, if the viewer deviates from the ideal viewing position, the circle will not appear as a perfect round shape. Instead, it may appear as an oval, either vertically or horizontally, depending on the direction of misalignment, which acts as an active and ongoing prompt to the user to maintain proper visual alignment.

[0065] If the viewer holds the viewing object too low, the circle will look like a vertical oval. Alternatively, if the object is held too high, the circle will become a horizontal oval. Thus, the viewer can use these visual cues of the distorted circle to gauge whether they need to make adjustments. If they see an oval-shaped circle, they can move the object or themselves accordingly until the circle regains its round shape. This ensures that they are viewing the anaglyph image from the correct angle.

[0066] Overall, the alignment indicia provides for optimal 3D viewing of the anaglyph image on the display media.

[0067] Embodiments of the invention described herein reference stereoscopic anaglyphic images and filters (typically in the form of glasses having a specifically coloured filters worn by a user). The filters are complementary colours, such as red- cyan, blue-yellow and green-magenta so that each lens only allows light of one or two colours in the RGB colour model to reach the eye of the user and be perceived.

[0068] In compliance with the statute, the invention has been described in language more or less specific to structural or methodical features. The term “comprises” and its variations, such as “comprising” and “comprised of” is used throughout in an inclusive sense and not to the exclusion of any additional features.

[0069] It is to be understood that the invention is not limited to specific features shown or described since the means herein described comprises preferred forms of putting the invention into effect.

[0070] The invention is, therefore, claimed in any of its forms or modifications within the proper scope of the appended claims appropriately interpreted by those skilled in the art.

Claims

CLAIMS1. A method for reducing crosstalk in anaglyphic 3D images, the method including: receiving a left eye image and a right eye image to be viewed with anaglyphic lenses to provide a three-dimensional (3D) image; calculating brightness differences between the left eye image and the right eye image; generating one or more difference images based on the brightness differences; applying a cancelling colour that is complementary to one or more colours causing crosstalk to the one or more difference images to produce one or more corresponding cancelling coloured difference images; subtracting values of the one or more difference images from the one or more cancelling coloured difference images based on the appropriate channels in the cancelling colour for each lens of the anaglyphic lenses to produce one or more corresponding refined images; and combining the one or more refined images with each of the left and right eye images to produce a modified image to be viewed with the anaglyphic lenses to provide a three-dimensional (3D) image.

2. The method of claim 1, including calculating the brightness differences includes subtracting values of the right eye image from the left eye image and subtracting values of the left eye image from the right eye image.

3. The method of claim 1 or claim 2, including adjusting the combined subtracted image or the subtracted left and right eye images.

4. The method of claim 3, wherein the adjusting includes a thickening operation.

5. The method of claim 4, wherein the thickening operation includes thickening the combined subtracted image or the subtracted left and right eye images.

6. The method of claim 5, wherein the thickening includes adding outlines or borders to one or more portions of the combined subtracted image or the subtracted left and right eye images.

7. The method of claim 5 or claim 6, wherein the thickening includes identifying one or more pixels having a brightness greater than one or more neighboring pixels.

8. The method of any one of claims 1 to 7, including adding outlines or borders includes adding one or more pixels about the identified one or more pixels having a brightness greater than the one or more neighboring pixels.

9. The method of any one of claims 1 to 8, including a fading operation, wherein the fading includes iteratively and selectively reducing the intensity or brightness of pixels along the edges of the one or more difference images.

10. The method of claim 9, wherein the fading operation includes fading edges of the combined subtracted image or the subtracted left and right eye images11. The method of any one of claims 1 to 10, wherein the left and right eye images are greyscale images.

12. The method of any one of claims 1 to 11 , wherein the left and right eye images are multichannel (i.e. colour) images and the method includes converting the left and right eye images to single greyscale images.

13. The method of any one of claims 1 to 12, including identifying a colour in each of the left and right eye images causing crosstalk (the crosstalk colours).

14. The method of any one of claims 1 to 13, including identifying the cancelling colour for each crosstalk colour.

15. The method of any one of claims 1 to 14, including combining the cancelling colour for each crosstalk colour to form a composite cancelling colour.

16. The method of claim 15, wherein applying the cancelling colour includes applying the composite cancelling colour to the combined subtracted image.

17. A modified anaglyphic 3D image generated by: calculating brightness differences between a left eye image and a right eye image of an original anaglyphic 3D image; generating one or more difference images based on the brightness differences; applying a cancelling colour that is complementary to one or more colours causing crosstalk to the one or more difference images to produce one or more corresponding cancelling coloured difference images; subtracting values of the one or more difference images from the one or more cancelling coloured difference images based on the appropriate channels in the cancelling colour for each lens of the anaglyphic lenses to produce one or more corresponding refined images; and combining the one or more refined images with each of the left and right eye images to produce the modified anaglyphic 3D image to be viewed with the anaglyphic lenses to provide a three-dimensional (3D) image.

18. The image of claim 17, wherein the image is printed on a display media having an anaglyphic alignment indicia printed thereon for providing positioning and alignment feedback to the user to correctly orient and position the display media for optimal viewing.

Images