Abstract: A method, medium, and apparatus encoding and/or decoding an image in order to increase encoding and decoding efficiency by performing binary-arithmetic coding/decoding on a binary value of a syntax element using a probability model having the same syntax element probability value for respective context index information of each of at least two image components.

Abstract: A simulator for developing an acoustic detector of underwater vehicle precisely verifies performance of an acoustic detector by simulating an actual underwater environment, including target signal, applied to an underwater vehicle. The simulator an I/O communication unit for receiving information required for simulating an underwater environment from an acoustic detector and an motion simulator; a signal generator for receiving the information from the I/O communication unit to calculate a digital signal model; a D/A converter for converting the digital signal model into an analog signal; a signal conditioner for generating a signal similar to the signal of an actual underwater environment by controlling frequency and gain of the analog signal; and a remotely controlled computer for loading an OS to the signal generator and displaying various operation status.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image encoding/decoding method and apparatus are disclosed. The encoding method comprises: obtaining a residue corresponding to a difference between the original image and a prediction image with respect to each component of the original image; encoding the residue of a predetermined component of the original image; restoring the encoded residue of the predetermined component and transforming the restored residue into a predetermined value including the restored residue value; and encoding prediction residues corresponding to differences between each of residues of components of the original image, which are not encoded, and the residue, which is restored and transformed into the predetermined value. Since prediction residues are encoded and decoded using correlations between residues of image components and image components, data amount is highly reduced.

Abstract: A color transformation method of transforming a first color component set representing a first color space to a second color component set representing a second color space is provided. The method comprising: reading the first color component set from a predetermined memory; transforming the read first color component set to the second color component set using a predetermined transformation function; and storing the second color component set to correspond to the first color component set, wherein the transformation function is defined by: defining a first transformation matrix used for acquiring dominant components of the first color component set and multiplying each of the elements of the determined first transformation matrix by a predetermined integer k.

Abstract: A residue image down- and/or up-sampling method and apparatus and an image encoding and/or decoding method and apparatus using the residue image down- and/or up-sampling method and apparatus are provided. The residue image downsampling method includes: generating a residue corresponding to the difference between an original image and a predicted image, for each image component of the original image formed with at least two or more image components; and downsampling the residue for each image component at a predetermined ratio. The residue image upsampling method includes: upsampling data downsampled from residue data of an original image; and restoring the original image by adding the predicted image to the upsampled residue of each component. According to the methods and apparatuses, a residue image is obtained by performing spatiotemporal prediction encoding first, and by sampling this residue image, loss of information occurring in the sampling process can be reduced.

Abstract: A color image residue transform and/or inverse transform method and apparatus, and a color image encoding and/or decoding method and apparatus using the same are provided. The residue transform method includes: obtaining a residue corresponding to the difference of an original image and a predicted image; and transforming the residue by using a relation between residues of color image components. The residue inverse transform method includes: generating a residue for each component by performing residue inverse transform of the residue transformed original image; and restoring the original image by adding a predicted image to the residue of each component. Also, the color image lossless encoding method using the residue transform includes: obtaining a residue corresponding to the difference of an original image and a predicted image; and performing encoding by transforming the residue by using the relation between residues of predetermined components.

Abstract: An image encoding and decoding apparatus and method, the image encoding and decoding apparatus includes: an encoding unit adjusting at least one weight value adaptively to the number of bits expressing each pixel of a current image, predicting a pixel value of a block of interest by performing an operation on a pixel value of at least one block having a pixel value similar to the pixel value of the block of interest among blocks included in a previous image and the at least one adjusted weight value, and encoding the pixel value of the block of interest using the predicted pixel value of the block of interest; and a decoding unit adjusting the at least one weight value adaptively to the number of bits, restoring the predicted pixel value of the block of interest by performing an operation on the pixel value of the at least one block having the pixel value similar to the pixel value of the block of interest among blocks included in the restored previous image and the at least one adjusted weight value, and dec

Abstract: A lossless image encoding/decoding method and apparatus. The lossless color image encoding apparatus includes a motion prediction image generator estimating a motion between a previous image and a current image and outputting a corresponding prediction image, a residue generator generating a temporal residue corresponding to a difference between a prediction image generated by the motion prediction image generator and the corresponding block of the current image with respect to different components of the color image, a prediction residue generator generating prediction residues by defining a linear-transformed value of one residue among the different components of the color image output from the residue generator as a predictor and using differences between each of the residues of the other components and the predictor, and an entropy encoder receiving the residue forming the predictor from the residue generator and the prediction residues from the prediction residue generator and generating a bitstream.

Abstract: A video encoding/decoding apparatus and method for color images include a first motion prediction unit that generates a first prediction residue image of an input image on a basis of a first motion prediction result of the input image. An image information detection unit sets a predetermined color component of an R-G-B image to a reference color component and determines whether the input image is a Y-Cb-Cr image or an R-G-B image and whether a color component is the reference color component. A second motion prediction unit performs motion prediction for the first prediction residue image and generates a second prediction residue image if the input image is the R-G-B image and the color component of the input image is not the reference color component.

Abstract: A method and apparatus for redundant image encoding and decoding, in which using a slice structure used for image encoding part of an image is redundantly encoded and decoded are provided. The apparatus for redundant image encoding includes a slice modeling unit which determines the structures of slices to be used in encoding the image and regions to be redundantly encoded so that image data of a predetermined region of the image to be redundantly encoded is contained in a plurality of slices, a slice allocation unit which allocates image data of each region of an image to the plurality of slices, a picture header encoding unit which encodes information required to decode the plurality of encoded slices and generates picture information, and a slice encoding unit which encodes the image in units of slices according to the picture header information.

Abstract: An apparatus and method for enhancing the quality of reproduced images are provided. More specifically, provided are an apparatus and method for enhancing the quality of reproduced, progressive images, which are capable of obtaining more natural and smoother progressive images and preventing such problems as blurry colors and aliased images that could be brought about in the process of converting interlaced images into progressive images.

Abstract: A method and apparatus for coding a chrominance component of an intra-image using spatial predictive coding and a method and apparatus for decoding the coded chrominance component are provided.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.