H04N19/439

IMAGE COMPRESSION CIRCUITRY AND IMAGE COMPRESSION METHOD

Image compression circuitry comprises first-stage compression circuitry, first-stage selector circuitry, second-stage compression circuitry, and second-stage selector circuitry. The first-stage compression circuitry is configured to sequentially receive a plurality of input blocks each comprising pixel data of a plurality of pixels, generate a plurality of first-stage compressed blocks by compressing the plurality of input blocks, and generate a plurality of first-stage decompressed blocks. The first-stage selector circuitry is configured to select first-stage-selected decompressed blocks from among the plurality of first-stage decompressed blocks and select first-stage-selected compressed blocks corresponding to the first-stage-selected decompressed blocks from among the plurality of first-stage compressed blocks. The second-stage compression circuitry is configured to generate a plurality of second-stage compressed blocks by compressing the plurality of input blocks and generate a plurality of second-stage decompressed blocks. The second-stage selector circuitry is configured to select second-stage-selected compressed and output the second-stage-selected compressed blocks.

Multi-Processor Support for Array Imagers
20220303523 · 2022-09-22 ·

Using the techniques discussed herein, a set of images is captured by one or more array imagers (106). Each array imager includes multiple imagers configured in various manners. Each array imager captures multiple images of substantially a same scene at substantially a same time. The images captured by each array image are encoded by multiple processors (112, 114). Each processor can encode sets of images captured by a different array imager, or each processor can encode different sets of images captured by the same array imager. The encoding of the images is performed using various image-compression techniques so that the information that results from the encoding is smaller, in terms of storage size, than the uncompressed images.

INHERITANCE IN SAMPLE ARRAY MULTITREE SUBDIVISION
20220217419 · 2022-07-07 ·

A better compromise between encoding complexity and achievable rate distortion ratio, and/or to achieve a better rate distortion ratio is achieved by using multitree sub-divisioning not only in order to subdivide a continuous area, namely the sample array, into leaf regions, but using the intermediate regions also to share coding parameters among the corresponding collocated leaf blocks. By this measure, coding procedures performed in tiles—leaf regions—locally, may be associated with coding parameters individually without having to, however, explicitly transmit the whole coding parameters for each leaf region separately. Rather, similarities may effectively exploited by using the multitree subdivision.

Electronic apparatus and method for upscaling a down-scaled image by selecting an improved filter set for an artificial intelligence model

A method for controlling an electronic apparatus according to the disclosure includes receiving image data and information associated with a filter set that is applied to an artificial intelligence model for upscaling the image data from an external server; decoding the image data; upscaling the decoded image data using a first artificial intelligence model that is obtained based on the information associated with the filter set; and providing the upscaled image data for output.

Image compression circuitry and image compression method

Image compression circuitry comprises first-stage compression circuitry, first-stage selector circuitry, second-stage compression circuitry, and second-stage selector circuitry. The first-stage compression circuitry is configured to sequentially receive a plurality of input blocks each comprising pixel data of a plurality of pixels, generate a plurality of first-stage compressed blocks by compressing the plurality of input blocks, and generate a plurality of first-stage decompressed blocks. The first-stage selector circuitry is configured to select first-stage-selected decompressed blocks from among the plurality of first-stage decompressed blocks and select first-stage-selected compressed blocks corresponding to the first-stage-selected decompressed blocks from among the plurality of first-stage compressed blocks. The second-stage compression circuitry is configured to generate a plurality of second-stage compressed blocks by compressing the plurality of input blocks and generate a plurality of second-stage decompressed blocks. The second-stage selector circuitry is configured to select second-stage-selected compressed and output the second-stage-selected compressed blocks.

MULTIDIMENSIONAL QUANTIZATION TECHNIQUES FOR VIDEO CODING/DECODING SYSTEMS
20220103851 · 2022-03-31 ·

Video compression and decompression techniques are disclosed that provide improved bandwidth control for video compression and decompression systems. In particular, video coding and decoding techniques quantize input video in multiple dimensions. According to these techniques, pixel residuals may be generated from a comparison of an array of input data to an array of prediction data. The pixel residuals may be quantized in a first dimension. After the quantization, the quantized pixel residuals may be transformed to an array of transform coefficients. The transform coefficients may be quantized in a second dimension and entropy coded. Decoding techniques invert these processes. In still other embodiments, multiple quantizers may be provided upstream of the transform stage, either in parallel or in cascade, which provide greater flexibility to video coders to quantize data in different dimensions in an effort to balance the competing interest in compression efficiency and quality of reconstructed video.

Image compression circuitry and image compression method

Image compression circuitry comprises first-stage compression circuitry, first-stage selector circuitry, second-stage compression circuitry, and second-stage selector circuitry. The first-stage compression circuitry is configured to sequentially receive a plurality of input blocks each comprising pixel data of a plurality of pixels, generate a plurality of first-stage compressed blocks by compressing the plurality of input blocks, and generate a plurality of first-stage decompressed blocks. The first-stage selector circuitry is configured to select first-stage-selected decompressed blocks from among the plurality of first-stage decompressed blocks and select first-stage-selected compressed blocks corresponding to the first-stage-selected decompressed blocks from among the plurality of first-stage compressed blocks. The second-stage compression circuitry is configured to generate a plurality of second-stage compressed blocks by compressing the plurality of input blocks and generate a plurality of second-stage decompressed blocks. The second-stage selector circuitry is configured to select second-stage-selected compressed and output the second-stage-selected compressed blocks.

Encoding processing method and device, decoding processing method and device, encoder, and decoder
11272176 · 2022-03-08 · ·

Disclosed are an encoding processing method and device, a decoding processing method and device, an encoder and a decoder. The encoding processing method includes: determining a filtering process to be applied to a pixel in a prediction reference block for an encoding block; filtering the pixel in the prediction reference block according to the filtering process; constructing a pixel prediction value for the encoding block according to a filtered pixel sampling value in the prediction reference block; and encoding the encoding block according to the pixel prediction value.

AN APPARATUS, A METHOD AND A COMPUTER PROGRAM FOR VIDEO CODING AND DECODING
20220078481 · 2022-03-10 ·

A method for motion compensated prediction, the method comprising determining a motion vector for a block of samples; determining a sub-sample accurate horizontal component and a sub-sample accurate vertical component of said motion vector;determining fractional parts of said sub-sample accurate horizontal and vertical motion vector components; determining interpolation filter length and interpolation filter based on said fractional parts; applying said interpolation filter with determined length to perform a filtering operation at least in either horizontal or vertical direction; and storing the result of said filtering operation as the motion compensated prediction with said motion vector.

COEFFICIENT DEPENDENT CODING OF TRANSFORM MATRIX SELECTION
20210329242 · 2021-10-21 ·

A video processing method includes checking, during a conversion from a coded representation of a current video block to the current video block, a position of a last non-zero coefficient of the current video block, wherein the position is relative to a top-left position of the current video block; and performing a determination, based on the position, whether or not to parse a syntax element which signals a transform information in the coded representation.