The invention discloses an image processing method and system, and belongs to the image processing technology field. The method comprises steps: original whole images are divided into groups, and boundary data values of image data blocks in each group are recorded respectively; the whole brightness assessed value of the image data blocks in each group is calculated; the original whole image is subjected to dislocation processing; brightness values of the same pixels in the original whole image and the dislocation processing image are obtained respectively, and ratios of a pixel brightness correction value in the two brightness values are determined according to difference of the two brightness values and the brightness assessed value; the processed whole image is output combined with the pixel brightness correction value and the pixel color value of the original whole image. The system comprises an image obtaining unit, an image grouping unit, a brightness assessment unit, a dislocation processing unit, an image correction unit and an image output unit. The beneficial effects are that the operational complexity can be lowered, less operation resource is occupied, real-time requirements are met, and the image deformation problem is solved effectively.

Image processing method and system

The present invention provides a live video processing method and device. The method comprises: obtaining a video data stream collected by a camera, wherein the video data stream includes a plurality of video frames; dividing each video frame into a plurality of image blocks according to the same layout; calculating the brightness value of each image block, and calculating the difference of the brightness value between the image blocks with the same position in each video frame according to the brightness value; determining the mean value of the difference corresponding to the image blocks with the same position, and determining whether the video data stream is a static-frame video stream or not according to the number of the image blocks corresponding to the mean value; and when the video data stream is the static-frame video stream, executing at least one item of reducing the frame rate of a camera step by step, increasing the intervals of key frames in the video data stream step by step and sending the cutout information to a server. In the invention, the problems that lots of redundant data are generated without interaction between audiences and anchors and the bandwidth is wasted.

Live video processing method and device

The invention discloses a prompting method and system for mobile terminal photographing. The method includes the steps that when a mobile terminal is in a photographing previewing mode, whether each image frame obtained by a camera is a first-kind image frame or not is judged, and if yes, the frame is marked, and mark conditions are stored; the first-kind image frames means that the preset number of pixels existing in the image frame is the same as that of the previous image frame; when it is detected that N continuous image frames are marked as the first-kind image frames, a prompt that photographing is appropriate is made. By the adoption of the prompting method and system, the mobile terminal can determine whether movable objects exist within the photographing range or not through judging the difference between the pixels of all the image frames obtained by the camera, the prompt of the occasion that photographing is appropriate is made for a user, it is avoided that in the photographing process, because the movable objects are photographed, the picture effect is affected, and an ideal picture is convenient to photograph for the user.

Prompting method and system for mobile terminal photographing

The embodiment of the invention provides a video de-interlacing processing method and a device. The video de-interlacing processing method comprises the following steps: an accumulative inter-field difference value and the inter-field absolute difference value are compared with a preset threshold value set to acquire a relatively precise sport grade, a static interpolation result and a dynamic interpolation result can be utilized in a weighted way more flexibly so as to acquire better de-interlacing effect.

Video de-interlacing processing method and device

The invention provides an adaptive motion detection method based on an image sequence; the method does not need gyroscope or accelerometer sensor information, analyzes image information, uses whetheror not a common shooting is fuzzy or not as determine standards, and makes motion determinations, thus providing basis for automatically opening algorithm anti-shaking or not; the method reads a frameof image, compares and analyzes the image with a frame image in a cycle queue, dynamically adjusts threshold of scene complexity and exposure time, determines whether the current frame has moved or not, and outputs motion states in a period according to statistics results of continuous frames, thus providing basis for automatically opening algorithm anti-shaking or not. When random hand-shaking happens or a large area object in a scene move, the method can determine and output the motion states. The method is simple and efficient, can optimize a SIMD instruction, and is suitable for real timedetection of an intelligent mobile phone preview end.

Adaptive motion detection method based on image sequence

Self-adaptive motion detection method based on image block statistics

The invention discloses a self-adaptive moving detection method based on the edge detection. The method includes calculating difference value between four brightness component fields relative to current pixel points and different value of two U and V color difference component fields, respectively comparing the four brightness component field difference value with four thresholds to obtain a variable mov_mode, then obtaining a judgment result combined with the moving state and edge detection condition of the pixel points that the current pixels of the two fields correspond to according to the value of the variable mov_mode and finally modifying judgment results according to the difference value between the U and V color difference component fields. The method enables edge detection condition and color difference components to be considered in judgment of the moving state, improves robustness of moving detection and lays good foundation for deinterlacing or interlacing videos.

Self-adaptive moving detection method based on edge detection

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Self-adaptive motion detection method based on image block statistics

Self-adaptive moving detection method based on edge detection