Geometric Image Transformation TRIZ Cases

A unified rendering pipeline processes extended reality scene content to generate virtual or augmented images based on user selection.

Adjusting tile drawing commands for integer pixel widths eliminates gaps and overlaps while minimizing memory usage through segmentation.

A vehicle output program receives identification and state data to generate type-specific results without manual input.

A predictable area determining unit identifies uniform regions in input data to reduce computation load during machine learning inference.

A display controller detects specific pixel conditions in a rendered image to automatically generate virtual input signals for the host system.

A dual memory section stores adjacent pixel data to enable efficient image correction processing.

Macro-based map editing reduces terrain data size by compressing reusable macro instances, resolving transmission time bottlenecks.

A lightweight dense residual network processes video frames using nested convolution blocks and pixel shuffle layers to generate high-resolution output.

A GPU micro-code mechanism processes transcendental instructions using cubic interpolation and Horner evaluation to reduce hardware requirements.

A video format converter detects true resolution and applies deinterlacing to enhance visual quality.

A display panel scaler circuit generates intermediate image data using integer enlargement factors to calculate pixel values for non-integer scaling targets.

A D-dimensional virtual trackball enables intuitive rotation of high-dimensional data spaces through 2D user input.

A vehicular image processing method extracts vehicle contours to isolate body regions from background scenes during image synthesis.

An image processing apparatus integrates pixel values sequentially to interpolate data while preserving average brightness within each pixel region.

Atlas encoding packs unique video patches into a consolidated structure to reduce data size and metadata while maintaining high-quality 6 DoF reproduction.

A neural network apparatus generates an upsampled tensor by copying pixels based on a scale factor.

A learning device derives subject models and compresses features to generate virtual images in target representation formats.

An apparatus enlarges high-luminance image areas to extract precise position coordinates for visible light communication.

Multi-angle fiducial markers encode transform data to adjust enhanced reality content orientation and position, resolving jarring fixed-position disruptions.

A medical image processing system extracts material candidates and assigns priorities to generate reduced images.

A confidence data determination unit compares evaluation values to generate a confidence map for correcting depth information in high resolution images.

A hybrid system compares SRGAN and nearest neighbor outputs to select the best upsampled image.

Linear interpolation pre-stretches video frames to match interface dimensions, eliminating moiré patterns caused by proximity difference sampling.

A display device rotates and maps video data to match screen orientation for high-quality output.

Sub-frame warping compensates for eye movement to maintain image quality while reducing power consumption.

Convolution-based point-sample encoding reconstructs high-quality images from sparse inputs, resolving latency and quality trade-offs in low-light aviation.

A video processing system shifts scan lines and interpolates pixels to generate compensated images.

A luminance data correction unit calculates parallel correction amounts to generate high-resolution video images efficiently.

A projection system converts 360-degree video between formats using geometric mapping.

A display generates up-sampled sub-frames to maintain image sharpness while reducing light source brightness.

Non-standard resolution disparity maps convert integer values to preserve sub-pixel precision, preventing information loss during transcoding.

Orthogonal interpolation of affine transformation matrices resizes graphic objects while preserving geometric characteristics.

Stacking YUV blocks into a super block enables specialized convolution that improves coding efficiency while reducing hardware resource requirements.

A ring-shaped frame and lever enable intuitive image enlargement or reduction via touch panel dragging.

A machine-learning model processes sixteen packed channels from a quad-Bayer sensor to produce three interpolated RGB pixel channels.

Detects parallel line segments near non-displaying areas to adjust object positions, preventing visual discontinuities caused by screen gaps.

A character appearance morphing system determines target points using template data to generate effect images.

An audio video hub segments display output into tiled windows to present multiple HDMI sources simultaneously.

Non-uniform sampling of discrete cosine transform coefficients reduces computational complexity for arbitrary ratio image resizing.

A display control unit arranges processed medical images based on acquired metadata to reduce manual formatting effort.

Segmenting input images via dummy data execution determines segmentation sizes, reducing GPU workload and processing time.

A pixel interpolation apparatus evaluates color saturation and correlation degrees to select optimal processing methods for single-chip image sensors.

Differential coding exploits color correlations in plenoptic point clouds, reducing bitstream size while maintaining view-dependent quality.

Fusing selected feature dimensions captures cross-dimensional relationships, improving classification accuracy without increasing network complexity.

A checking device uses electromagnetic wave reception regions to detect foreign substances on rotating target objects.

Segmenting distance regions allows ranging sensors and cameras to operate in optimal zones, resolving accuracy trade-offs across varying ranges.

A rendering apparatus adjusts image resolution based on optimal factors to reduce pixel shading operations.

Multi-angle image stitching reconstructs non-planar surfaces for automated information extraction.