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Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.


Papers
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01 Jan 2012
TL;DR: A new technique for embedding a watermark which will not be erased during image conversion from normal image to HDR image is proposed and is proved to be reversible, which allows for lossless recovery of original image from watermark image.
Abstract: In this paper, a generic visible watermarking with a capability of lossless image recovery is proposed. This method based on the use of deterministic one-to-one compound mapping of pixel values a variety of visible watermarks on the cover image. The image conversion for watermarks normal image into HDR image are used in various image segmentation applications. During image conversion from watermarked into HDR image. The embedded watermark will be erased due to the usage of tone mapping in HDR image conversion. In this paper we have proposed a new technique for embedding a watermark which will not be erased during image conversion from normal image to HDR image. Our proposed system that, the original HDR image is transformed to a reference image by applying logLUV transformation. Finally the reverse log transform is applied to obtain the watermarked version of the given original image when a generic TM (Tone mapping) is applied to the watermarked HDR image, the watermark is still presents long as the assumption of similarly between the log transform and TM. The compound mappings are proved to be reversible, which allows for lossless recovery of original image from watermark image.
Patent
21 May 2019
TL;DR: In this paper, an intelligent terminal image conversion method is described, which comprises the steps of receiving a first control instruction for carrying out head portrait type conversion on a video image, and obtaining a three-dimensional coefficient of each frame of image of the video image; Converting the image corresponding to the type of the image to be converted through a 3D model based on the 3D coefficient.
Abstract: The invention discloses an intelligent terminal image conversion method, an intelligent terminal and a storage device, and the method comprises the steps: receiving a first control instruction for carrying out head portrait type conversion on a video image, the first control instruction comprising a to-be-converted image type; Obtaining a three-dimensional coefficient of each frame of image of thevideo image; Converting each frame of image of the video image into an image corresponding to the type of the image to be converted through a three-dimensional model based on the three-dimensional coefficient of each frame of image; And synthesizing the image corresponding to the to-be-converted image type into a target video image. In this way, the head portrait of the video image can be replaced without rerecording the video.
Patent
Minjun Li1, Haozhi Huang, Lin Ma, Wei Liu, Yu-Gang Jiang 
10 Sep 2020
TL;DR: In this article, an image processing method, comprising of acquiring an image to be processed belonging to a first image class, inputting the image to the processing process into a first-stage image conversion model to obtain a first intermediate image, converting the first intermediate images into a second intermediate image by means of a second-stage model, determining a second weight matrix corresponding to the second intermediate images, and carrying out fusion on the intermediate images according to the corresponding first weight matrix and second weight matrices.
Abstract: An image processing method, comprising: acquiring an image to be processed belonging to a first image class; inputting the image to be processed into a first-stage image conversion model to obtain a first intermediate image; converting the first intermediate image into a second intermediate image by means of a second-stage image conversion model; determining a second weight matrix corresponding to the second intermediate image; determining a first weight matrix corresponding to the first intermediate image; and carrying out fusion on the first intermediate image and the second intermediate image according to the corresponding first weight matrix and second weight matrix to obtain a target image corresponding to the image to be processed and belonging to a second image class.
Patent
23 Jun 2017
TL;DR: In this paper, a VR glasses image processing device for relieving the pain of a patient is described, which consists of a control center module, an image acquisition module, image conversion module and an image display module.
Abstract: The invention discloses a VR glasses image processing device for relieving the pain of a patient. The device comprises a control center module, an image acquisition module, an image conversion module, an image encoding module, an image processing module, an image restoration module, an image storage module, and an image display module. The output end of the control center module is connected to the input ends of the image acquisition module, the image conversion module, the image encoding module, the image processing module, the image restoration module, the image storage module and the image display module. The image acquisition module, the image conversion module, the image encoding module, the image processing module, the image restoration module, the image storage module and the image display module are connected in order. Compared with the prior art, the processing efficiency and processing effect of an image are greatly improved, the processing cost is reduced, the quality of an display image is effectively improved, good viewing experience and viewing effect are provided for a user, and the device is worthy of promotion.
Patent
03 Jun 2021
TL;DR: In this paper, the authors proposed a method of converting a 2D image into a 3D image using an image conversion system having at least one processor and at least 1 memory.
Abstract: The invention relates to a method of converting a two-dimensional (2D) image into a three-dimensional (3D) image using an image conversion system having at least one processor and at least one memory, the method comprising: extracting a 2D RGB (Red, Green, Blue) object image attribute from a 2D object image; uploading the extracted 2D RGB object image attribute to a cloud computing system (or service), wherein developed algorithms are located; calculating a 3D mesh object image attribute based on the uploaded and extracted 2D RGB object image attribute; texturing the estimated 3D mesh object from the calculated 3D mesh object image attribute; and displaying the textured 3D mesh object on a display device.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202132
202074
2019117
2018115
2017100
2016107