Digital Video Signal Modification TRIZ Cases

A decoding device parses division depth and direction information to acquire prediction quantization parameters from neighboring units for efficient processing.

Encoder circuitry selects motion vector precision from neighboring block information, reducing bitstream data volume while maintaining picture quality.

Bounded ALF coefficient ranges lower hardware implementation costs and noise sensitivity while maintaining picture quality through parameter changes.

A video decoder selects a target decoding mode based on a generated color depth control signal to match display capabilities.

Adjusts thresholds dynamically using gradient magnitude to optimize bit signaling efficiency while maintaining encoding simplicity.

A block prediction method applies illumination compensation to reference blocks, generating predicted samples that reduce residual data volume.

Encoder injects temporal noise through varied empty frame references, preventing frozen video artifacts while reducing bit rate.

Region-based adaptive loop filtering optimizes coding efficiency by applying specific filter parameters only where image properties require enhancement.

Bidimensional video processing separates signals into low and high-frequency layers, reducing bandwidth requirements without degrading visible image quality.

Deriving most probable modes from adjacent units reduces encoding complexity while maintaining high-resolution image quality.

A method sets a fixed reference picture index for temporal merging candidates to enable parallel inter-frame prediction across coding blocks.

A modified merged affine model harmonizes prediction tools to reconstruct video blocks using weighted sums.

A video encoder performs content-adaptive color mapping on sub-pictures to convert values into a narrower color space for the base layer.

Signaling residual coding methods via block-based delta pulse code modulation flags reduces transmission costs for high-resolution image data.

A video decoding apparatus decodes tile group headers to select exclusive segment types for flexible processing.

Segmented search areas allow per-block access to external reference samples, balancing memory usage with improved coding efficiency.

An image processing apparatus expands and normalizes prediction residual significant figures based on local bit depth to manage computing precision.

Flatness degree indices determine prediction block sizes to omit temporary decoding processes and reduce computation costs.

A transfer unit moves reference pixels between holding units in an image coding apparatus to optimize memory usage.

A unified linear model estimation method computes slope and intercept parameters using a single lookup table to reduce hardware complexity in video coding.

A video decoding apparatus reconstructs residual signals using a tree structure to divide current blocks into variable-sized subblocks.

Merging small chroma blocks into larger units reduces hardware complexity while maintaining representation precision.

Non-raster scan order segments video frames into parallel processing lanes, reducing decoding delay while maintaining probability context accuracy.

A picture encoding device derives a prediction quantization parameter using activity information to calculate a difference value for efficient coding.