Geometric Image Transformation TRIZ Cases

A video mapping system uses group of pictures offsets to enable rapid viewpoint switching in immersive content.

A video display method segments frames across computing modules to decode high-resolution content.

A coefficient table stores integer interpolation coefficients to enable arbitrary image scaling using fixed-point arithmetic.

A display system re-scales and pans between defined panels in electronic documents for seamless viewing.

A bilateral grid prediction network generates multiple grids from a single model to apply diverse image styles.

Resumes interrupted transition animations on switched screens via state tracking, resolving continuity breaks during rapid mode changes.

A hierarchical image tile system replaces anchor tiles with higher resolution children to enable smooth zoom transitions.

A multi-frame super-resolution system aligns low-resolution images with non-integer pixel shifts to reconstruct high-resolution barcode data.

Terminal device adjusts virtual object tracks using real-time posture data, resolving AR fidelity issues caused by inconsistent device orientation.

Serial residual blocks with Laplacian attention reduce inference time and memory consumption while maintaining image quality.

A magnification device calculates interpolation coefficients based on pixel correlation strength to determine accurate high-resolution pixel values.

A convolutional neural network extracts multi-scale feature maps and fuses them via an ROI aligner to generate precise object classification vectors.

Gradient and temporal coherence costs guide discontinuous seam removal, reducing spatial artifacts during video resizing.

Rotating video content in a dedicated full-screen view avoids WebView reformatting, reducing CPU consumption and accelerating mode switching.

A partial image generator extracts user-designated points from 360-degree images and registers interpolation lines between them.

Edge detection identifies directions to calculate measurement values, reducing circuit complexity while maintaining de-interlacing accuracy.

A cache memory prefetches unconverted pixels before image conversion to optimize storage usage.

A fish-eye image generation unit creates a vehicle periphery view from a perpendicular upward position to expand the visible area.

Concurrent branch display reduces inspection time by eliminating sequential scrolling through numerous slices while maintaining complete vessel coverage.

An end-to-end framework merges separate models into a unified system, reducing computing costs while minimizing rate-distortion loss.

A super-resolution convolutional neural network model trained with high-definition images, low-definition images, and mask images.

A spiral aggregation map samples pixel values along radial trajectories to create a rotation-resistant image description model.

Integration processing unit correlates ophthalmologic images from multiple devices to generate a single unified display.

Tilt detection section measures gravitational force direction to rotate image data, resolving recognition errors caused by lateral vehicle inclination.

Parallel convolutional neural networks process image patches at different scales to resolve segmentation accuracy issues in densely clustered cells.

A triangulation mesh formed by eye key points and auxiliary interpolation points transforms makeup effects across varying facial features.

A projector system uses a height detecting unit to change projection image shape and position based on user stature.

A collage image creating program uses a placement algorithm to determine image arrangements based on rotation angles and aspect ratios.

A mobile terminal adjusts concurrent image sizes based on priority modes to maximize display area for remote control.

A synthetic image generation system creates training data using randomized 3D object models and automated ground truth labels.

A second processor module magnifies a selected region of a video stream based on user instructions.

A parallel polyphase image interpolation apparatus uses reconfigurable filters to process source data efficiently.

A binary image downsampling method enhances skeleton pixel values in a grayscale intermediate to preserve topology during resolution reduction.

FAST method transfers super-resolution results between video frames to reduce computational load.

An image generation method fuses overall and object style features to produce a target style feature for new image synthesis.

View segmentation and metadata mediation prevent cross-view mixing in 3D images, reducing processing power while maintaining high quality.

Warping left and right eye images using embedded optical flow data to generate parallax motion effects in 360 degree stereo video streams.