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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.


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Patent
10 Feb 1994
TL;DR: In this paper, the color image to be transmitted is read from a hard disk 36 and transferred to an image conversion circuit 14, in which an inside color/monochromatic conversion circuit 50 converts the inputted color image data to monochrome image data.
Abstract: PURPOSE:To inform that an original image is colored by adding a message showing that the original image is a color image in the case of transmission with conversion from the color image to a non-color image. CONSTITUTION:The color image to be transmitted is read from a hard disk 36 and transferred to an image conversion circuit 14. In the conversion circuit 14, an inside color/monochromatic conversion circuit 50 converts the inputted color image data to monochromatic image data. Next, an image synthesizing circuit 54 synthesizes a message image (c) stored in a message memory 52 to a monochromatic image (b) from the color/monochromatic conversion circuit 50. Thus synthesized image is stored in the hard disk 36 for transmission.

4 citations

Patent
04 Apr 1997
TL;DR: In this paper, a reflected light model of an opaque object is expressed, based on diffused reflection and mirror surface reflection, which are expressed by using luminance data by assuming that the luminance of an input video signal changes linearly.
Abstract: PROBLEM TO BE SOLVED: To provide an image converter that is able to express metallic luster where an image of an input video signal is converted into an image with a metallic lustrus image and setting a parameter in response to an input image. SOLUTION: A reflected light model of an opaque object is expressed, based on a reflected light model of diffused reflection and mirror surface reflection. The reflected light model provides three-dimensional data, which are expressed by using luminance data by assuming that the luminance of an input video signal changes linearly. A color correction circuit 56 is provided with a look-up table used for an arithmetic operation to generate metallic luster from an image of the input video signal, based on the luminance data and the set parameter. A matrix arithmetic circuit 52 extracts a luminance signal component from the received video signal, and a pre-modifying circuit 53 adjusts the amplitude and the color correction circuit 56 performs calculations to generate metallic luster and mix circuits 57-59 composite the outputs of the circuit 56 and the input video signals. COPYRIGHT: (C)1998,JPO

4 citations

Patent
06 Mar 1995
TL;DR: In this paper, the authors proposed to realize localization and suppression of image quality deterioration due to a burst error by forming coded data of a slice layer with a few number of micro blocks for a motion image area and with many numbers of micro locks for a still image area.
Abstract: PURPOSE: To realize localization and suppression of image quality deterioration due to a burst error by forming coded data of a slice layer with a few number of micro blocks for a motion image area and with many number of micro locks for a still image area. CONSTITUTION: An input image signal S1 is given to a pre-processing section 1, in which signal processing of image conversion to a signal format of MPEG video coding is conducted, a coding image signal S2 is generated and the signal S2 is given to an MV detection section 10 and an SLM setting section 14. Furthermore, an output signal S7 from a memory section 8 is given to an MCPS section 9 and a detection section 10, and the MCPS section 9 conducts motion compensation signal processing based on a motion vector signal MV to generate a predict signal PS for motion compensation. Furthermore, the detection section 10 detects the motion vector MV based on signals 2, 7, a VLC section 11 conducts prescribed coding and the signal MV is given to a BS generating section 13 via a buffer section 12. A setting section 14 discriminates a still image area and a motion image area based on motion information of the motion vector, changes number of micro blocks to code a slice layer. COPYRIGHT: (C)1996,JPO

4 citations

Patent
15 Jul 2015
TL;DR: In this paper, a head-up display system consisting of a holographic projection system, an image conversion system, and a signal generation system is described, where the signal generator generates a target image and outputs the image to the projection system.
Abstract: Disclosed in the utility model is a head-up display system comprising a holographic projection system, an image conversion system, and a signal generation system. The holographic projection system, the image conversion system, and the signal generation system are mutually connected. The image conversion system converts a target image generated by the signal generation system into a hologram and outputs the hologram to the holographic projection system; and the signal generation system generates a target image and outputs the image to the image conversion system. According to the technical scheme, signal obtaining and generation, target pattern generation, and hologram conversion work are completed by using peripheral equipment; other signals like hologram data and control signals and the like are sent to a hologram projection host terminal in a wired or wireless mode; and the host terminal is only responsible for receiving and display work. Therefore, the cost is substantially lowered.

4 citations

Patent
30 Aug 2012
TL;DR: In this article, the authors proposed a method to estimate a position/attitude of a specific area in an image with high accuracy using a feature point extraction and a matching part.
Abstract: PROBLEM TO BE SOLVED: To provide an image processing apparatus, an image processing method and a program which are capable of estimating a position/attitude of a specific area in an image with high accuracy.SOLUTION: The image processing apparatus includes: a feature point extraction part 11 for extracting a feature point of an input image I1; a matching part 12 for determining correspondence of the feature point with a reference image R; a homography calculation part 13 for calculating a relation of projection between the input image I1 and the reference image R based on the correspondence; and an image conversion part 14 for converting at least a part of the input image I1 based on the relation of projection. The homography calculation part 13 calculates a homography matrix H1 based on the correspondence of the feature point with the reference image R for the input image I1, and calculates a homography matrix H2 based on the correspondence of the feature point with the reference image R for the input image I1 converted by the image conversion part 14 on the basis of the homography matrix H1, and calculates again the relation of projection between the input image I1 and the reference image R based on the homography matrixes H1, H2.

4 citations


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