Systems and methods for image transformation based on transformation instructions

US11544882B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-11544882-B1
Application numberUS-202117548653-A
CountryUS
Kind codeB1
Filing dateDec 13, 2021
Priority dateDec 13, 2021
Publication dateJan 3, 2023
Grant dateJan 3, 2023

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Abstract

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A method and a system for processing an image and transform it into a high resolution and high-definition image using a computationally efficient image transformation procedure is provided. The transformation of the image comprises receiving, at a first input interface, a layered distance field (DF) image including an ordered sequence of multiple layers. Each layer of the layered DF image includes a DF procedure defining DF values at all locations of the received intensity image and rules for mapping these DF values into intensity values of the layer. The transformation of the image further comprises, receiving, at a second input interface, a transformation instruction and transforming the layered DF image based on the transformation instruction.

First claim

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The invention claimed is: 1. An image processing system, comprising: a first input interface configured to receive a layered distance field (DF) image including an ordered sequence of multiple layers, each layer of the layered DF image includes a DF procedure defining DF values at all locations of the received intensity image and rules for mapping these DF values into intensity values of the layer; a second input interface configured to receive a transformation instruction; at least one processor configured to transform the layered DF image based on the transformation instruction; and an output interface configured to output the transformed layered DF image. 2. The image processing system of claim 1 , wherein the transformation instruction specifies one or a combination of (1) a compression parameter, such that the transformed layered DF image includes a compression of the layered DF image, (2) a texture mapping parameter, such that the transformed layered DF image includes the layered DF image with modified texture, (3) a zooming instruction, such that the transformed layered DF image includes a zoomed version of the layered DF image, (4) an algebraic instruction, such that the transformed layered DF image includes a result of algebraic manipulation on the layered DF image. 3. The image processing system of claim 1 , wherein the transformation instruction specifies a compression parameter defining a level of compression, wherein the at least one processor is configured to perform compression of the layered DF image to upper levels until the level of compression is met to produce the transformed layered DF image. 4. The image processing system of claim 1 , wherein the transformation instruction specifies a compression parameter defining a level of compression, wherein the at least one processor is configured to compress parameters of the DF procedures with lossless compression to produce a compressed layered DF image and, if the level of compression is not met, removes upper levels of the compressed layered DF image until the level of compression is met to produce the transformed layered DF image. 5. The image processing system of claim 1 , wherein the transformation instruction specifies a compression parameter defining a level of compression, wherein the at least one processor is configured to compress parameters of the DF procedures with lossy compression to produce a compressed layered DF image and, if the level of compression is not met, removes upper levels of the compressed layered DF image until the level of compression is met to produce the transformed layered DF image. 6. The image processing system of claim 1 , wherein the compression of the DF procedures is resolution independent. 7. The image processing system of claim 1 , wherein the transformation instruction comprises a texture mapping defined by resolution-independent DF procedures, and wherein the at least one processor is configured to append the resolution-independent DF procedures to the top layer of the layered DF image to produce the transformed layered DF image. 8. The image processing system of claim 1 , further comprising: a memory configured to store a set of texture DF procedures defining different textures for at least a portion of the layered DF image, wherein the transformation instruction indicates a desired texture, wherein the at least one processor is configured to select a texture DF procedure indicated by the desired texture from the set of texture DF procedures and append the selected texture DF procedure to a DF procedure of the top layer of the layered DF image. 9. The image processing system of claim 1 , further comprising: a memory configured to store a set of texture DF procedures defining different textures for at least a portion of the layered DF image, wherein the transformation instruction indicates a desired texture, wherein the at least one processor is configured to select a texture DF procedure indicated by the desired texture from the set of texture DF procedures and replace a DF procedure of the top layer of the layered DF image with the selected DF procedure. 10. A method for image processing comprising: receiving, at a first input interface, a layered distance field (DF) image including an ordered sequence of multiple layers, wherein each layer of the layered DF image includes a DF procedure defining DF values at all locations of the received intensity image and rules for mapping these DF values into intensity values of the layer; receiving, at a second input interface, a transformation instruction; transforming, by at least one processor, the layered DF image based on the transformation instruction; and outputting the transformed layered DF image onto an output interface. 11. A non-transitory computer readable storage medium embodied thereon a program executable by a processor for performing a method for image processing, the method comprising: receiving, at a first input interface, a layered distance field (DF) image including an ordered sequence of multiple layers, wherein each layer of the layered DF image includes a DF procedure defining DF values at all locations of the received intensity image and rules for mapping these DF values into intensity values of the layer; receiving, at a second input interface, a transformation instruction; transforming, by at least one processor, the layered DF image based on the transformation instruction; and outputting the transformed layered DF image onto an output interface.

Assignees

Inventors

Classifications

  • Image coding (bandwidth or redundancy reduction for static pictures H04N1/41; coding or decoding of static colour picture signals H04N1/64; methods or arrangements for coding, decoding, compressing or decompressing digital video signals H04N19/00) · CPC title

  • Interactive image processing based on input by user · CPC title

  • G06T3/40Primary

    Scaling of whole images or parts thereof, e.g. expanding or contracting · CPC title

  • G06T11/10Primary

    Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) · CPC title

  • G06T11/001Primary

    Physics · mapped topic

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What does patent US11544882B1 cover?
A method and a system for processing an image and transform it into a high resolution and high-definition image using a computationally efficient image transformation procedure is provided. The transformation of the image comprises receiving, at a first input interface, a layered distance field (DF) image including an ordered sequence of multiple layers. Each layer of the layered DF image inclu…
Who is the assignee on this patent?
Mitsubishi Electric Res Laboratories Inc
What technology area does this patent fall under?
Primary CPC classification G06T3/40. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 03 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).