Abstract: A video encoding method for generating, based on disparity information between an already-encoded reference camera image and an encoding target camera image corresponding to the reference camera image, a disparity-compensated image by means of inter-camera image prediction; and encoding a differential image between the encoding target camera image and the disparity-compensated image. The method includes selecting, for each predetermined section unit on the differential image, one of a decoded differential image group obtained by decoding a differential image between the already-encoded camera image and the disparity-compensated image and a decoded camera image group obtained by decoding the already-encoded camera image, by determining whether or not there is a disparity-compensated image at the corresponding position, that is, whether or not the corresponding pixel in the disparity-compensated image has an effective value.

Abstract: A video encoding method includes setting candidates for reference pixels to pixels within a predetermined distance range measured from an encoding target block; generating a predicted signal by sequentially selecting reference pixels used for the intra prediction of the encoding target block from among the reference pixel candidates while changing a distance condition from the encoding target block, and by generating the predicted signal based on the reference pixels for each distance condition; computing an encoding cost required for subjecting the encoding target block to intra prediction encoding using each generated predicted signal; finally determining reference pixels used for the intra prediction of the encoding target block based on each computed encoding cost; and encoding information which indicates the position of the determined reference pixels.

Abstract: An image encoding method includes determining a corresponding point on a target image for encoding, which corresponds to each pixel on a reference image, based on the distance from a camera used for obtaining the reference image to an imaged object, and a positional relationship between cameras; computing a parallax vector from the position of the pixel to the corresponding point in the pixel space; computing a target predictive vector having the same starting point as the parallax vector and components obtained by rounding off the components of the parallax vector; computing a target reference vector having the same starting point as the parallax vector and the same size and direction as a differential vector between the target predictive vector and the parallax vector; and setting a predicted pixel value of a pixel on the target encoding image, which is indicated by the target predictive vector, to a value of a pixel on the reference image, which is indicated by the target reference vector.

Abstract: A video encoding method includes selecting a reference vector target frame and a reference frame from among already-encoded frames; encoding information for designating each frame; setting a reference vector for indicating an area in the reference vector target frame with respect to an encoding target area; encoding the reference vector; performing a corresponding area search by using image information of a reference vector target area, which belongs to the reference vector target frame and is indicated by the reference vector, and the reference frame; determining a reference area in the reference frame based on the search result; generating a predicted image by using image information of the reference frame, which corresponds to the reference area; and encoding differential information between image information of the encoding target area and the predicted image.

Abstract: An image processing method includes determining a first bandwidth based on original image data; computing a filter coefficient array for implementing frequency characteristics corresponding to a band limitation using the first bandwidth; generating first filtered image data by subjecting the original image data to a filtering process using the first filter coefficient array; deriving an objective image-quality estimation value of the first filtered image data, and computing an allocation coefficient used for determining an optimum bandwidth, based on the objective image-quality estimation value; determining the optimum bandwidth corresponding to the computed allocation coefficient by referring to a table in which a correspondence relationship between the allocation coefficient and the optimum bandwidth is defined; computing an optimum filter coefficient array for implementing the frequency characteristics corresponding to a band limitation using the optimum bandwidth; and generating optimum filtered image dat

Abstract: A video encoding method for encoding video images as a single video image by using parallax compensation which performs prediction by using parallax between the video images, and a corresponding decoding method. The number of parameters as parallax data used for the parallax compensation is selected and set for each reference image. Data of the set number of parameters is encoded, and parallax data in accordance with the number of parameters is encoded. During decoding, parallax-parameter number data, which is included in encoded data and designates the number of parameters as parallax data for each reference image, is decoded, and parallax data in accordance with the number of parameters is decoded, where the parallax data is included in the encoded data.

Abstract: A video encoding method for encoding a plurality of images as a video image. The method includes a reference parallax data setting step of setting reference parallax data which indicates a viewing difference between a first image and an already-encoded second image, in order to encode target encoding data assigned to a predetermined position in the first image; a corresponding position setting step of setting a corresponding position in the second image, which can correspond to the predetermined position, by using the reference parallax data; a code table setting step of setting a code table corresponding to target encoding data assigned to the corresponding position; and a target encoding data encoding step of encoding the target encoding data in the first image by using the code table.

Abstract: A motion vector predictive encoding method, a motion vector decoding method, a predictive encoding apparatus, a decoding apparatuses, and storage media storing motion vector predictive encoding and decoding programs are provided, thereby reducing the amount of generated code with respect to the motion vector, and improving the efficiency of the motion-vector prediction. If the motion-compensating mode of the target small block to be encoded is the global motion compensation, the encoding mode of an already-encoded small block is the interframe coding mode, and the motion-compensating mode of the already-encoded small block is the global motion compensation, then the motion vector of the translational motion model is determined for each pixel of the already-encoded small block, based on the global motion vector (steps S1-S5). Next, the representative motion vector is calculated as the predicted vector, based on the motion vector of each pixel of the already-encoded small block (step S6).

Abstract: In order to make it possible to obtain the correct decoded image even in the case of not decoding a particular frame of the encoded data and improve the coding efficiency, the predicted image production unit 103 selects the image data from the image data of a plurality of frames in the reference image memory 107 which are encoded in the past, of the i-th (1?i?j) category, for the current frame which is classified as the j-th category by the image classifying unit 102, and produces the predicted image. The difference encoding unit 104 encodes a difference between the image data of the current frame and the predicted image. Also, the current category encoding unit 106 encodes the category number of the current frame, and the reference image specifying data encoding unit 105 encodes the reference image specifying data which specifies the image data selected from the reference image memory 107.

Abstract: A motion vector predictive encoding method, a motion vector decoding method, a predictive encoding apparatus, a decoding apparatuses, and storage media storing motion vector predictive encoding and decoding programs are provided, thereby reducing the amount of generated code with respect to the motion vector, and improving the efficiency of the motion-vector prediction. If the motion-compensating mode of the target small block to be encoded is the global motion compensation, the encoding mode of an already-encoded small block is the interframe coding mode, and the motion-compensating mode of the already-encoded small block is the global motion compensation, then the motion vector of the translational motion model is determined for each pixel of the already-encoded small block, based on the global motion vector (steps S1–S5). Next, the representative motion vector is calculated as the predicted vector, based on the motion vector of each pixel of the already-encoded small block (step S6).

Abstract: A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC·x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Abstract: Video data predictive encoding methods using the two kinds of prediction modes, the global and local motion compensation modes, are provided, by which unnecessary MCSEL is reduced as much as possible, and the data compression efficiency is improved. In the encoder, after a code word MCBPC indicating the macroblock type and presence/absence of the DCT coefficient of each of two blocks for sending color-difference signals, a code word MCSEL indicating which motion-compensating mode, global or local, was adopted for the prediction of the current macroblock is output if the macroblock was not intraframe-encoded.

Abstract: A motion vector predictive encoding method, a motion vector decoding method, a predictive encoding apparatus, a decoding apparatuses, and storage media storing motion vector predictive encoding and decoding programs are provided, thereby reducing the amount of generated code with respect to the motion vector, and improving the efficiency of the motion-vector prediction. If the motion-compensating mode of the target small block to be encoded is the global motion compensation, the encoding mode of an already-encoded small block is the interframe coding mode, and the motion-compensating mode of the already-encoded small block is the global motion compensation, then the motion vector of the translational motion model is determined for each pixel of the already-encoded small block, based on the global motion vector (steps S1-S5). Next, the representative motion vector is calculated as the predicted vector, based on the motion vector of each pixel of the already-encoded small block (step S6).

Abstract: A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC·x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Abstract: Motion vector encoding and decoding methods, motion vector encoding and decoding apparatuses, and storage media storing motion vector encoding and decoding programs are provided, thereby reducing the amount of generated code with respect to the motion vector. First, the motion vector of a target block to be encoded is detected (step S1), and a prediction error vector is calculated (step S2). After the length component of the motion vector is calculated (step S3), the length component is variable-length-encoded (step S4). The length component is checked (step S5), and if the length component is not 0, the direction component is calculated (step S6). The table for encoding the direction component is selected according to the length component, and the direction component is encoded (step S7).

Abstract: A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC·x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Abstract: A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC·x+ DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Abstract: A moving image brightness variation compensation method for encoding digital moving images for transmission and storage, and for image processing when editing moving images, the moving image brightness variation compensation method comprising a step of compensating for overall brightness variations by correcting a luminance value x of each pixel according to the formula DC·x+DB, wherein DB is a parameter indicating a gain change and DC is a parameter indicating a contrast change, the parameters representing overall luminance changes between a reference image plane and an image plane being processed.

Abstract: Digital signal encoding and decoding method and apparatus are provided, by which the amount of codes for communicating the quantization width can be reduced to the utmost and the coding efficiency can be improved. In the method, at the time of encoding a digital signal, the quantization width is determined based on the amount of encoded data which have already been encoded, and information on the quantization width is not included into generated encoded data. At the time of decoding, the quantization width is determined according to the amount of encoded data which have already been received. Therefore, even if the quantization width is changed, information on the quantization width is not included in the generated encoded data and thus the amount of generated codes can be reduced.