CN108377353B - Video processing method applied to embedded system - Google Patents

Abstract

The invention discloses a video processing method applied to an embedded system, which synthesizes image data of an odd field and image data of an even field into a frame of image; obtaining a full luminance signal by synthesizing a half luminance signal of one frame image; the method of the invention can be used for synthesizing a complete image by combining all brightness signals and all color difference signals of a frame of image.

Description

Video processing method applied to embedded system

Technical Field

The invention relates to the field of video processing, in particular to a video processing method applied to an embedded system.

Background

A moving picture is composed of a series of consecutive still pictures, each of which is called a frame (frame), and the number of still pictures per second in the moving picture is called a frame rate (fps). Interlaced scanning is a method of dividing pixels in odd lines and pixels in even lines of a frame of image into two fields (fields), and scanning the fields formed by the odd lines and the fields formed by the even lines alternately.

The conventional digital cameras cannot continuously capture progressive images due to the limitation of hardware speed and buffer memory size, so that the conventional digital cameras capture interlaced images, and the interlaced images are half less in information amount than the progressive images, so that the requirements for hardware speed reduction and buffer memory size reduction are nearly half. But the time each field was shot was not the same, representing that we never had a perfect de-interlacing. For example, with a digital camera taking sixty fields per second, the first field being taken at 1/60 seconds and the second field being taken at 2/60 seconds, the two fields are combined together and the combined image appears perfect if there is no movement of the object being taken; however, if the subject moves and the contents of the two fields are quite different, the combined image will produce a "jaggy" effect.

The floating point number reading operation capability of the existing embedded equipment is very poor, the existing scheme has a plurality of soft algorithms which can have good image processing effect, but the embedded equipment has poor operation capability, so that the realization cannot be realized. The de-interlacing algorithm of the video can not meet the requirement, so that the video always has the defect of saw teeth or horizontal stripes, and the visual effect of the video is poor.

Disclosure of Invention

The present invention is directed to solving the problems of the prior art, and provides a video processing method applied to an embedded system for solving the problems of aliasing and horizontal streaks,

the method comprises the following steps:

step S1, scanning alternately and progressively to obtain odd field image data and even field image data;

step S2, synthesizing the image data of odd field obtained by progressive scanning at last moment and the image data of even field obtained by progressive scanning at present moment into a frame of image;

step S3, obtaining a whole luminance signal by half luminance signal processing of synthesizing one frame image;

in step S4, the entire luminance signal and the entire color difference signals obtained and combined as one frame image are combined into a complete image.

In the embodiment, preferably, in step S3, half of the luminance signals that are combined into one frame of image are taken and processed by the quadratic linear interpolation algorithm, so as to obtain all the luminance signals.

In step S2, the even field image data obtained by progressive scanning at the previous time and the odd field image data obtained by progressive scanning at the current time may be combined into one frame image.

The invention synthesizes odd field and even field signals, extracts half of the brightness signals to perform secondary linear interpolation algorithm processing to obtain all brightness signals, extracts half of the brightness signals to perform secondary linear interpolation algorithm processing to accelerate algorithm operation speed, synthesizes color difference signals and brightness signals to form a complete picture, and can eliminate sawtooth and horizontal stripes of the picture. Compared with the prior art, the video processing method applied to the embedded system solves the defect that the embedded device has poor floating point number reading operation capability and cannot effectively process the sawtooth or the horizontal stripe of the video, and performs soft algorithm processing on half of the brightness signals, thereby obtaining all the brightness signals, greatly improving the operation speed, saving the color difference signals of the original image, leading the image to maximally save the authenticity of the original data, and effectively solving the problem of the sawtooth and the horizontal stripe.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic diagram of a video processing method applied to an embedded system according to the present invention.

Detailed Description

In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Example 1

The invention provides a video processing method applied to an embedded system, the specific principle is as shown in figure 1,

the method specifically comprises the following steps:

step S1, scanning alternately and progressively to obtain odd field image data and even field image data;

step S2, synthesizing the image data of odd field obtained by progressive scanning at last moment and the image data of even field obtained by progressive scanning at present moment into a frame of image;

step S3, obtaining a whole luminance signal by half luminance signal processing of synthesizing one frame image;

in step S4, the entire luminance signal and the entire color difference signals obtained and combined as one frame image are combined into a complete image.

In the embodiment of the present invention, preferably, all the luminance signals obtained in step S3, specifically, half of the luminance signals that are synthesized into one frame of image are subjected to a quadratic linear interpolation algorithm to obtain all the luminance signals, and it should be noted that those skilled in the art may also obtain all the luminance signals in other manners.

Example 2

The invention provides a video processing method applied to an embedded system, which specifically comprises the following steps:

step S1, scanning alternately and progressively to obtain odd field image data and even field image data;

step S2, synthesizing the even field image data obtained by the progressive scanning at the last moment and the odd field image data obtained by the progressive scanning at the current moment into a frame image;

step S3, taking a half of the brightness signals of a frame of image to perform secondary linear interpolation algorithm processing to obtain all brightness signals;

in step S4, the entire luminance signal and the entire color difference signals obtained and combined as one frame image are combined into a complete image.

The above description describes preferred embodiments of the invention, but it should be understood that the invention is not limited to the above embodiments, and should not be viewed as excluding other embodiments. Modifications made by those skilled in the art in light of the teachings of this disclosure, which are well known or are within the skill and knowledge of the art, are also to be considered as within the scope of this invention.

Claims (2)

1. A video processing method applied to an embedded system is characterized by comprising the following steps:

step S1, scanning alternately and progressively to obtain odd field image data and even field image data;

step S2, synthesizing the image data of odd field obtained by progressive scanning at last moment and the image data of even field obtained by progressive scanning at present moment into a frame of image;

step S3, processing a quadratic linear interpolation algorithm by synthesizing a half of the brightness signals of a frame of image to obtain all the brightness signals;

in step S4, the entire luminance signal and the entire color difference signals obtained and combined as one frame image are combined into a complete image.

2. A video processing method applied to an embedded system is characterized by comprising the following steps:

step S1, scanning alternately and progressively to obtain odd field image data and even field image data;

step S2, synthesizing the even field image data obtained by the progressive scanning at the last moment and the odd field image data obtained by the progressive scanning at the current moment into a frame image;

step S3, processing a quadratic linear interpolation algorithm by synthesizing a half of the brightness signals of a frame of image to obtain all the brightness signals;

in step S4, the entire luminance signal and the entire color difference signals obtained and combined as one frame image are combined into a complete image.

Images