A previously encoded or reconstructed version of a neighborhood of a predetermined block to be predicted is exploited so as to result into a more efficient predictive coding of the prediction block. In particular, a spectral decomposition of a region composed of this neighborhood and a first version of a predicted filling of the predetermined block results into a first spectrum which is subject to noise reduction and the thus resulting second spectrum may be subject to a spectral composition, thereby resulting in a modified version of this region including a second version of the predicted filling of the predetermined block. Owing to the exploitation of the already processed, i.e. encoded/reconstructed, neighborhood of the predetermined block, the second version of the predicted filling of the predetermined block tends to improve the coding efficiency.

A previously encoded or reconstructed version of a neighborhood of a predetermined block to be predicted is exploited so as to result into a more efficient predictive coding of the prediction block. In particular, a spectral decomposition of a region composed of this neighborhood and a first version of a predicted filling of the predetermined block results into a first spectrum which is subject to noise reduction and the thus resulting second spectrum may be subject to a spectral composition, thereby resulting in a modified version of this region including a second version of the predicted filling of the predetermined block. Owing to the exploitation of the already processed, i.e. encoded/reconstructed, neighborhood of the predetermined block, the second version of the predicted filling of the predetermined block tends to improve the coding efficiency.

An image sensor module, an image processing device, and an image compression method receive pixel values of a target pixel group to be compressed in the image data and reference values of reference pixels to be used for compression of the target pixel group, generate a virtual reference map by applying an offset value to each of the reference values, compress the pixel values of the target pixel group based on the virtual reference map, and generate a bitstream based on a compression result and compression information based on the virtual reference map.

An image sensor module, an image processing device, and an image compression method receive pixel values of a target pixel group to be compressed in the image data and reference values of reference pixels to be used for compression of the target pixel group, generate a virtual reference map by applying an offset value to each of the reference values, compress the pixel values of the target pixel group based on the virtual reference map, and generate a bitstream based on a compression result and compression information based on the virtual reference map.

There is provided a medical endoscope device including: an encoding processing unit configured to compression-encode RAW image data of a medical captured image of an observation target captured by an imaging device that is inserted into a body of a patient and captures an image of an inside of the body; and a transmission unit configured to wirelessly transmit the compression-encoded RAW image data.

There is provided a medical endoscope device including: an encoding processing unit configured to compression-encode RAW image data of a medical captured image of an observation target captured by an imaging device that is inserted into a body of a patient and captures an image of an inside of the body; and a transmission unit configured to wirelessly transmit the compression-encoded RAW image data.

There are provided mechanisms for encoding an image. The method comprises determining adaptive loop filter, ALF, coefficient values. The method comprises determining a scaling factor. The method further comprises generating scaled ALF coefficient values by applying the scaling factor to one or more of the ALF coefficient values. The method comprises providing the scaled ALF coefficient values to a decoder, wherein providing the scaled ALF coefficient values to the decoder comprises encoding the scaled ALF coefficient values in a bitstream and conveying the bitstream over a network. The determined ALF coefficient values reduce an error between reconstructed image components and original image components and the determined scaling factor improves subjective performance for image to be encoded.

There are provided mechanisms for encoding an image. The method comprises determining adaptive loop filter, ALF, coefficient values. The method comprises determining a scaling factor. The method further comprises generating scaled ALF coefficient values by applying the scaling factor to one or more of the ALF coefficient values. The method comprises providing the scaled ALF coefficient values to a decoder, wherein providing the scaled ALF coefficient values to the decoder comprises encoding the scaled ALF coefficient values in a bitstream and conveying the bitstream over a network. The determined ALF coefficient values reduce an error between reconstructed image components and original image components and the determined scaling factor improves subjective performance for image to be encoded.

A method and apparatus for adaptively processing video samples in a video signal frame, the video samples being arranged in a Largest Coding Unit. The method comprises extracting a plurality of video samples from the Largest Coding Unit, calculating a correction offset for a first video sample of the extracted plurality of video samples upon the basis of a first value of the first video sample and a second value of a second video sample of the extracted plurality of video samples, and weighting the first video sample with the correction offset.

A method and apparatus for adaptively processing video samples in a video signal frame, the video samples being arranged in a Largest Coding Unit. The method comprises extracting a plurality of video samples from the Largest Coding Unit, calculating a correction offset for a first video sample of the extracted plurality of video samples upon the basis of a first value of the first video sample and a second value of a second video sample of the extracted plurality of video samples, and weighting the first video sample with the correction offset.