Unlock instant, AI-driven research and patent intelligence for your innovation.

Image conversion processing method and system

An image conversion and processing method technology, applied in the field of image processing, can solve problems such as serious, grayscale information loss, stepped texture, etc., and achieve the effect of improving stepped ripples and strong practicability

Active Publication Date: 2013-10-09
TCL CORPORATION
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an image conversion processing method and system, aiming to solve the problem of serious step texture caused by the loss of gray level information in the process of image conversion from high gray level to low gray level

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image conversion processing method and system
  • Image conversion processing method and system
  • Image conversion processing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] figure 1 The implementation flow of the image conversion processing method provided by Embodiment 1 of the present invention is shown, and the process of the method is described in detail as follows:

[0029] In step S101, the pixel depth of the pixel point before and after the image conversion and the pixel value of the pixel point before the image conversion are obtained.

[0030] In this embodiment, when the image is a grayscale image, the pixel depth refers to the number of bits used to store each pixel. For example, for a grayscale image with a grayscale of 0-255, the pixel depth of the grayscale image is 8. When the image is an RGB image, since the pixel value R, G, and B of each pixel are represented by three components, the pixel depth of the image is the R component, G component, and B component that store the pixel value of each pixel, respectively. The number of bits used, including the pixel depth of the R component, the pixel depth of the G component, and ...

Embodiment 2

[0044] figure 2 The implementation flow of the image conversion processing method provided by the second embodiment of the present invention is shown, and the process of the method is described in detail as follows:

[0045] In this embodiment, the pixel values, high-order values ​​and low-order values ​​of the pixel points of the image are all represented by binary numbers.

[0046] In step S201, the pixel depths before and after the image conversion are determined as m and n, and the pixel values ​​of the pixels before the image conversion are determined.

[0047] In step S202, the value corresponding to the first n digits of the pixel value of the pixel point before the image conversion is the high value of the pixel point, and the value corresponding to the last m-n digits of the pixel value of the pixel point before the image conversion is the value of the pixel point low value.

[0048] In step S203, the low-order residual value of the central pixel is extracted accor...

example 1

[0063] Convert RGB(8,8,8) to RGB(5,5,5):

[0064] 1) Obtain the R component value of the pixel of the RGB (8,8,8) image, take the high value of the R component as the value corresponding to the first 5 bits of the R component value, and the low value as the value corresponding to the last 3 bits of the R component value value;

[0065] 2) Sort the low-order values ​​of the R components from large to small, and determine the acquisition order of the pixels to be processed according to the sorting.

[0066] 3) Assume that the sum of the low-level values ​​of the R components of the pixels whose adjacent distances to the first pixel to be processed are 0, 1, and 2 are M0, M1, and M2, respectively.

[0067] When M0>=8, extract the low-order residual value of the R component of the first pixel to be processed as 1, and carry out the low-order value of the R component of the pixel whose adjacent distance to the first pixel to be processed is 0 deal with;

[0068] When M0=8, the l...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention adapts to an image processing field, and provides an image conversion processing method and system. The method comprises acquiring pixel depths of a pixel dot before and after image conversion and the pixel value of a pixel dot before image conversion, and accordingly acquiring the high value and low value of the pixel dot; extracting the low residual value of the pixel dot according to the low value of the pixel dot; and subjecting the low residual value and the high value of the pixel dot to summarization to give the pixel value of the pixel dot after image conversion. By transferring low residual value corresponding information into the high value of the pixel dot, the obtained high value is the pixel value of the pixel dot after image conversion. The invention can solve the problems such as image distortion caused by grayscale information loss during high grayscale to low grayscale image conversion, and over much step-like color disorder, can be applied to various existing display systems, and has strong practicability.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image conversion processing method and system. Background technique [0002] Generally, image types are mainly divided into bitmap, indexed image, grayscale image, and RGB image. Different types of images store pixels in different ways. For example, a grayscale image consists of a series of different brightness (ie grayscale) levels. Each pixel is represented by 8-bit data. The color of the RGB image is obtained by changing the three color channels of red (R), green (G) and blue (B) and superimposing them with each other. In RGB mode, each RGB component can also be represented by a value from 0 (black) to 255 (white). [0003] Since most of the current image displays are in digital grayscale mode, the displayed image formats are mostly RGB (8, 8, 8), RGB (6, 6, 6), RGB (5, 6, 5) and other formats , In the prior art, in the digital image display or conversion process, due to d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00
Inventor 王幼琳
Owner TCL CORPORATION