Abstract: A decoder decodes encoded binary image data on each block in order to recover a target block of the binary image. The image decoder includes motion compensated blocking which obtains a reference block from a reference binary image by applying motion compensation using motion information. A selector selects a statistical model from among a plurality of statistical models, based on states of pixels surrounding a reference pixel in the reference block, in which the reference pixel also corresponds to a target pixel in the target block. An arithmetic decoder recovers the target block by decoding the encoded data using the selected statistical model. In one embodiment, the pixels surrounding the reference pixel in the reference block are pixels positioned within one pixel distance from the reference pixel.

Abstract: An image encoding apparatus comprises: dynamic range estimating means 10101 for obtaining a dynamic range from a target multi-value image to be encoded; dynamic range encoding means 10105 for encoding the dynamic range and for outputting the same as dynamic range encoded data; smoothing function estimating means 10102 for estimating a smoothing function from the target multi-value image; multi-value to binary converting means 10103 for converting the multi-value image to a binary image based on a multi-value to binary conversion criterion determined to match the smoothing function; binary image encoding means 10104 for encoding the binary image and for outputting the same as binary image encoded data; smoothing function encoding means 10106 for encoding the smoothing function and for outputting the same as smoothing function encoded data. This configuration achieves efficient encoding of the multi-value image.

Abstract: A decoder decodes encoded binary image data on each block in order to recover a target block of the binary image. The image decoder includes motion compensated blocking which obtains a reference block from a reference binary image by applying motion compensation using motion information. A selector selects a statistical model from among a plurality of statistical models, based on states of pixels surrounding a reference pixel in the reference block, in which the reference pixel also corresponds to a target pixel in the target block. An arithmetic decoder recovers the target block by decoding the encoded data using the selected statistical model. In one embodiment, the pixels surrounding the reference pixel in the reference block are pixels positioned within one pixel distance from the reference pixel.

Abstract: A decoder decodes encoding binary image data on each block in order to recover a target block of the binary image. The image decoder includes motion compensated blocking which obtains a reference block from a reference binary image by applying motion compensation using motion information. A selector selects a statistical model from among a plurality of statistical models, based on states of pixels surrounding a reference pixel in the reference block, in which the reference pixel also corresponds to a target pixel in the target block. An arithmetic decoder recovers the target block by decoding the encoded data using the selected statistical model. In one embodiment, the pixels surrounding the reference pixel in the reference block are pixels positioned within one pixel distance from the reference pixel.

Abstract: An image encoding apparatus comprises: dynamic range estimating means 10101 for obtaining a dynamic range from a target multi-value image to be encoded; dynamic range encoding means 10105 for encoding the dynamic range and for outputting the same as dynamic range encoded data; smoothing function estimating means 10102 for estimating a smoothing function from the target multi-value image; multi-value to binary converting means 10103 for converting the multi-value image to a binary image based on a multi-value to binary conversion criterion determined to match the smoothing function; binary image encoding means 10104 for encoding the binary image and for outputting the same as binary image encoded data; smoothing function encoding means 10106 for encoding the smoothing function and for outputting the same as smoothing function encoded data. This configuration achieves efficient encoding of the multi-value image.

Abstract: A decoder decodes encoded binary image data on each block in order to recover a target block of the binary image. The image decoder includes motion compensated blocking which obtains a reference block from a reference binary image by applying motion compensation using motion information. A selector selects a statistical model from among a plurality of statistical models, based on states of pixels surrounding a reference pixel in the reference block, in which the reference pixel also corresponds to a target pixel in the target block. An arithmetic decoder recovers the target block by decoding the encoded data using the selected statistical model. In one embodiment, the pixels surrounding the reference pixel in the reference block are pixels positioned within one pixel distance from the reference pixel.

Abstract: An image encoding apparatus comprises: dynamic range estimating means 10101 for obtaining a dynamic range from a target multi-value image to be encoded; dynamic range encoding means 10105 for encoding the dynamic range and for outputting the same as dynamic range encoded data; smoothing function estimating means 10102 for estimating a smoothing function from the target multi-value image; multi-value to binary converting means 10103 for converting the multi-value image to a binary image based on a multi-value to binary conversion criterion determined to match the smoothing function; binary image encoding means 10104 for encoding the binary image and for outputting the same as binary image encoded data; smoothing function encoding means 10106 for encoding the smoothing function and for outputting the same as smoothing function encoded data. This configuration achieves efficient encoding of the multi-value image.

Abstract: An image encoding apparatus comprises: dynamic range estimating means 10101 for obtaining a dynamic range from a target multi-value image to be encoded; dynamic range encoding means 10105 for encoding the dynamic range and for outputting the same as dynamic range encoded data; smoothing function estimating means 10102 for estimating a smoothing function from the target multi-value image; multi-value to binary converting means 10103 for converting the multi-value image to a binary image based on a multi-value to binary conversion criterion determined to match the smoothing function; binary image encoding means 10104 for encoding the binary image and for outputting the same as binary image encoded data; smoothing function encoding means 10106 for encoding the smoothing function and for outputting the same as smoothing function encoded data. This configuration achieves efficient encoding of the multi-value image.