KR960040021A - Image Processing System for Ultra Low Speed Transmission - Google Patents

Abstract

The present invention relates to an image processing system that hatches and decodes for ultra-low speed transmission. The present invention relates to predicting the motion between dominemies by a feature point, and converts the predicted non-displacement displacement into a decoder together with data generated by block-by-block coding. By transmitting and decoding on the basis of the transmitted data, encoding and decoding suitable for ultra low speed transmission are possible.

Description

Image Processing System for Ultra Low Speed Transmission

As this is a public information case, the full text was not included.

FIG. 3 is a video encoding apparatus for ultra low speed transmission according to the present invention, FIG. 4 is a block diagram for explaining the feature point motion predictor of FIG. 3 in detail, and FIG. 5 is a video decoding apparatus for ultra low speed transmission according to the present invention.

Claims (7)

A subtractor for calculating the difference between the current frame and the frame whose motion is compensated for; a DCT for obtaining a transform coefficient for the difference signal of the subtractor; a quantizer for quantizing the DCT coefficient; an inverse quantizer for inverse quantization; an adder, a motion predictor, and an ent In an incubating apparatus having a loti coder and a further series of image frames: The odd-numbered frame signal of an input video frame is encoded in a block unit method, and the even-numbered frame signal is motion compensated in pixel units. A selector (100) for adaptively selecting the continuously input frames such that encoding is performed by using a? A first frame memory 116 for storing a frame reconstructed by the encoder when encoding is selected on a block basis by an operation of the selector 100; A second frame memory (118) for storing a frame stored in the first frame memory (116) before the restored frame is stored in the first frame memory (116); When encoding is selected by interpolation by the operation of the selector 100, a frame signal currently input, based on a previous frame of the first frame memory 116 and a previous frame of the previous frame of the second frame memory 118 And a feature point motion predictor for predicting the motion and providing the predicted frame information. An entropy decoder that decodes the received quantization step size, motion vectors, etc., an inverse quantizer that inversely quantizes the information provided by the entropy decoder, an inverse DCT that restores transform coefficients dequantized by the inverse quantizer, and And a motion compensator for compensating motion based on the frame and the reconstructed motion vectors, and an adder for adding data reconstructed in the inverse DCT and an image frame predicted by the motion compensator, and decoding a series of image frames. In; A third frame memory 210 for storing the frame reconstructed by the decoder; A fourth frame memory (212) for storing a frame stored in the third frame memory (210) before the restored frame is stored in the third frame memory (210); Feature point movement for predicting a motion displacement with respect to a feature point on the basis of a previous frame restored in the third frame memory 210 and a previous frame restored in the fourth frame memory 212. Prediction unit 214; And a frame decoder 216 for rearranging the frame reconstructed by the feature point motion predictor 214 and the frame provided by the adder 208 to be displayed as an original video signal. Image processing system for. The method of claim 1, wherein the feature point motion predictor 120 comprises: a first motion predictor 122 for obtaining the forward interpolated frame signal, and a second motion predictor 124 for obtaining a backward interpolated frame; A third motion predictor 126 for obtaining an averaged frame signal between the frames obtained by the first motion predictor 122 and the second motion predictor 124, and the first, second, third, and predictive ends. And a frame comparator (128) for comparing the frame signal having the lowest noise component among the frames obtained in (124) and (126). The method of claim 3, wherein the first motion predictor 122 includes a first feature point selector 1221 for selecting a plurality of feature points included in a frame of the second frame memory 118, and the first feature point. A first motion vector detection stage 1222 for obtaining a set of motion vectors for the feature points selected by the selection stage 1221 and the feature points included in the previous frame of the first frame memory 116, and the first motion A first non-feature point detection stage 1223 that detects motion vectors for non-feature points other than the feature points based on the motion vectors of the vector detector 1222 and the feature points provided by the first feature point selection stage 1221, and A first motion compensation stage 1224 for obtaining a motion compensated vector by matching the motion vectors provided from the first non-feature point detection stage 1223 to all frames of the previous frame reconstructed in the second frame memory 118; The first motion compensation stage 1224 Image processing for ultra-low-speed transmission, characterized in that it comprises a first calculation stage 1225 for calculating a signal-to-noise ratio (PSNR) based on the motion vector compensated by the < RTI ID = 0.0 > and < / RTI > system. 4. The second feature predictor 124 includes: a second feature point selector 1241 for selecting a plurality of feature points included in a previous frame of the first frame memory 116, and the second feature predictor 124. A second motion vector detection stage 1242 for obtaining motion vectors for the feature points selected at the feature point selection stage 1241 and the feature points included in the previous frame of the previous frame of the second frame memory 118, and the second movement. A second non-feature point detection stage 1243 that detects a motion vector for non-feature points other than the feature points based on the motion vectors of the vector detector 1242 and the feature points provided by the second feature point selection stage 1241, and A second motion compensation stage 1244 that obtains a motion vector whose motion is compensated by matching the motion vector provided from the second non-feature point detection stage 1243 to the previous frame reconstructed in the first frame memory 116, and To the second motion compensation group 1244. And a second calculation stage (1245) for calculating a signal-to-noise ratio based on the compensated motion vector and the current frame provided from the selector (100). The method of claim 3, wherein the third motion predictor 126 comprises a vector and a second motion corresponding to the compensated set provided by the first motion compensator 1224 of the first motion predictor 122. An average value processing stage 1261 for averaging vectors corresponding to the compensated frame provided by the second motion compensation stage 1244 of the prediction stage 124, a motion vector and the selector 100 by the average value processing stage 1261. And a third calculation stage (1261) for calculating a signal-to-noise ratio (PSNR) based on the current frame provided by the C-type. The apparatus of claim 3, wherein the frame comparator 128 compares the frames corresponding to the motion vectors provided by the first, second, and third prediction stages 122, 124, and 126, respectively, and has a minimum noise ratio. And a motion vector of the frame. ※ Note: The disclosure is based on the initial application.