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.