Geometric Image Transformation TRIZ Cases

Automated image deformation system fragments original images and applies center-to-edge ratio control for precise target shape generation.

A user terminal automatically displays photographs in full screen by maintaining aspect ratios and zooming images to match screen dimensions.

A reframing method selects from multiple operations using saliency analysis to preserve critical visual elements.

Local convolution kernels transform raw images into frequency coefficients to reconstruct luminance and chrominance, reducing zipping effects.

A color filter array design with minimal repeating units and a demosaicing method that fuses panchromatic images to enhance color fidelity.

A paver-mounted image generation apparatus processes multi-camera inputs to create a unified downward view of the asphalt finisher.

Segmenting texture maps into sub-regions reduces data loading for the rendering CPU, resolving overhead from manual UV adjustment.

Minimum energy seam removal adjusts image dimensions to resolve visual distortion trade-offs inherent in conventional scaling methods.

Neural networks dynamically adjust image resolution to balance bitrate and quality.

Diffractive optical elements split image beams to enable variable focus adjustment, resolving eyestrain from fixed depth optics in augmented reality displays.

Real-time geometric warping compensates for compression delays by adjusting image models, reducing latency from 400 milliseconds to 28 milliseconds.

Wraps polar imaging data around a cone to generate recognizable Cartesian format images using standard graphics processing units.

A demosaicing method determines depth and color information using weighted peripheral pixels to reconstruct missing data in hybrid images.

A scanning microscope calculates pixel resolution from objective lens magnification to acquire super-resolution images automatically.

A non-uniform image resizer applies variable scale factors to define pixel locations across segmented regions.

Non-uniform re-sampling of cubemap projection faces reduces boundary discontinuities and improves compression efficiency for omnidirectional video.

A Tetrahedral Mesh CNN framework computes a volumetric Laplace Beltrami operator for neural network processing.

Matching source and target resolution ratios eliminates black borders during projection, improving screen utilization and visual fidelity.

Correction data generation apparatus plots image points in a predetermined color space to calculate pixel correction values.

Computes annotation strength based on view distance to adjust text size and audio volume, preventing overcrowding in gigapixel images.

A trained convolutional neural network downsamples video frames using residual blocks to reduce data volume while preserving image resolution.

An image processing apparatus determines output pixel calculation order to maximize local memory data reuse.

A microscope-image browsing system prioritizes image delivery based on playback direction to enable seamless playback.

A vehicle periphery monitoring device generates bird's-eye view images using two-dimensional and three-dimensional plane projective transformations.

Remaps spherical images to position stitch lines along the equator, minimizing distortion and eliminating artifacts in equirectangular projections.

TIN interpolation and moving-average smoothing refine 5 m-DEM elevation values into fine grid-cells, eliminating jagged artifacts in narrow areas.

Automated image processing identifies photo subjects and positions them within fixed aspect ratio display windows, eliminating manual selection time.

A universal color data mapping language model translates and indexes digital color mediums into a standardized format.

A vehicle speed detection system adjusts image capture intervals based on measured velocity to maintain accurate calculation across varying speeds.

A deviation magnification method fits parametric models to image objects and warps the input to reveal subtle geometric departures.

A trimming centerline adjusts based on detected trunk inclination to produce balanced photographic images.

A personalization policy alters specific video images within a stream to produce customized output.

Feature descriptor matching isolates relevant text regions to eliminate computational waste on non-ROI content and improve OCR throughput.

Spatial modulation determines refractive error without complex apparatus, resolving the contradiction between measurement precision and device complexity.

Deep neural networks identify and remove heads-up display elements from video frames, resolving the trade-off between information access and user immersion.

A head-up display adjusts virtual image position and size using a projection optical system with movable lenses.

A rendering system adjusts image resolution using non-linear functions to match human visual acuity across different display layers.

Encoding omnidirectional images with mixed resolution surfaces reduces decoding load, enabling immediate field-of-view display without full image processing.

Graphics processing unit executes demosaicing instructions on raw image data to convert sensor output into RGB format.

Segmented image processing pipelines boost matching points to resolve speed and accuracy trade-offs in real-time object recognition.

A feed supply control module quantifies livestock intake intention through pixel brightness analysis of farm images.

A logo identification model detects illegal use by analyzing suspect images.

A reconfigurable multilayer AI network partitions multiplier-accumulator blocks to execute different image processing models on a single ASIC.

A correlation-based interpolation circuit selects symmetric pixel pairs to generate accurate display pixels.

A sprite JPEG image concatenates video frames vertically to create animated thumbnails with high compression efficiency.

An AI encoding and decoding apparatus uses memory-efficient integer parameters for deep neural network convolution operations.

An automated image processing system detects dominant edge orientations to rotate and de-tilt digital images without manual intervention.

Encoding point cloud data using selective scaling factors and inter-frame prediction to compress attribute information efficiently.

A head-up display apparatus calculates time-to-border for virtual objects and adjusts their transparency or size during movement.