Camera-based room mapping adjusts conferencing speakers and microphones to cut echo and ambient noise while improving voice pickup.
Merged motion information units cut affine prediction complexity while preserving accurate irregular-motion coding in picture blocks.
Pixel-based foreground-background dissimilarity detects post-processing display errors that CRC misses, protecting icon visibility and shape recognition.
Selective zero-filled LDPC groups align BCH-encoded signaling to fixed-length frames, improving broadcast transmission robustness and efficiency.
By encoding deviations from preset base values, OLED compensation data can be stored and transmitted with less bandwidth while preserving accuracy.
Previous coefficient statistics set a non-zero Rice parameter per coefficient group, improving video coding efficiency for large values.
Sparse multidimensional signatures and spanning-element mapping improve object detection across angle and scale changes with lower compute load.
By splitting high-dimensional signals into blocks, this PCA approach cuts computation cost and data size while preserving full signal recovery.
Recovers missing graphical micro-units from adjacent indicators so incomplete captures still yield accurate indicator data.
Selective error diffusion corrects PWM light-output errors in dithered pixels, reducing moire and pseudo contours in electrophotographic images.
Invalid structured-light codewords are corrected using neighborhood-based candidate selection to fill depth-map gaps and improve scene accuracy.
Group-based zero padding matches BCH data to fixed LDPC blocks, improving broadcast signaling robustness with manageable encoding complexity.