Image Enhancement TRIZ Cases

Multi-energy subtraction isolates tissue components in 3D volumes, reducing motion artifacts.

An image processing system associates moving objects using capturing direction data and feature amounts.

A poultry shoulder incision apparatus uses a conveyor and two cutters to automate carcass processing.

A CMOS image sensor generates dual conversion gain signals from shared floating diffusion pixels for signal processing.

A CMOS imaging element uses two signal holding units per pixel to capture simultaneous images with distinct exposure settings.

Generative adversarial networks fill removed object gaps with contextually appropriate content, eliminating manual masking effort.

An image processing apparatus extracts representative intraluminal images by grouping regions of interest based on correlation and visibility.

An image processing apparatus derives color conversion parameters to extract object regions from images.

Automated image inpainting removes shielding objects from media images, resolving the contradiction between manual editing complexity and result authenticity.

A unified digital drawing tool converts line segments into regular arcs using interactive handle elements.

Zero-order linear polynomial regression filtering isolates stationary tissue components, resolving clutter residues from complex tissue motions.

A colorized passthrough image merges textures from multiple camera modalities using saliency-based alpha maps to preserve spatial information.

Stereo cameras calculate object depth via image disparity to detect small obstacles that radar misses during low-altitude flight.

Navigation system filters visual features via semantic segmentation to improve accuracy in GPS-denied environments.

An image capturing apparatus generates parking lot data from vehicle images to create a real-time guidance model.

Low-angle vision system classifies vehicles via stable features and auto-calibrates to resolve occlusion and scale changes in dense traffic.

Inverse images cancel screen distortions through camera feedback, compensating for manufacturing deviations and user variations.

A videoconferencing endpoint combines audio angles with motion detection to localize active talkers accurately.

An image processing method maps user landmarks to virtual objects by selecting predefined events based on component values, ensuring natural avatar expressions.

A processor generates focal codes from depth information to focus on moving objects.

Color channel selection and thresholding isolate embedded elements from cluttered backgrounds, reducing computational resource consumption during decoding.

A multiple-exposure imaging device captures target object data with varying sensitivities to generate image data for motion state detection.

Digital interest point extraction replaces physical markers, resolving high maintenance costs while maintaining measurement precision.

A template unit boundary identification system determines pattern unit sizes using pixel analysis line segments for automated image processing.

Segmenting camera pose from object pose resolves the contradiction between tracking accuracy and algorithm complexity for moving cameras.

Computing system isolates genuine object edges by filtering candidate clusters against 3D spatial structure data.

A physiological signal prediction method converts video clips into spatio-temporal graphs for deep learning analysis.

Generative adversarial networks synthesize clean X-ray images from noisy low-dose data, resolving the trade-off between radiation exposure and image quality.

A decoding method recovers lost or corrupted dynamic parameters from additional data to reconstruct high-dynamic range images.

Straightens curved roads in reference-line referenced image space, reducing algorithm complexity and processing time for map database updates.

A chroma quantization parameter adjustment mechanism determines offset values based on picture characteristics to decode video data.

A medical imaging apparatus determines gantry rotation angles from overlapping scan data sets using fast Fourier transforms.

A device calculates reliability scores from image color differences to predict object recognition success before processing.

Segments object trajectories by spatial and velocity thresholds, reducing storage requirements while maintaining forensic analysis accuracy.

Segmenting multi-band reflectance images into spatial components resolves spectral ambiguities and improves perfusion parameter prediction accuracy.

A 3D U-Net model processes noisy cardiac CT cine inputs to generate denoised functional image volumes.

Adaptive blur thresholds correct measurement precision across varying input sizes, resolving false acceptances in liveness detection.

Principal component analysis removes non-contributory variance from XPS datasets, halving acquisition time while maintaining measurement accuracy.

Thermographic image analysis corrects for cooling time to reduce false positives in plastic container weld detection.

A medical imaging apparatus registers images by applying motion information derived from respiratory state differences.

A gradient domain convolutional neural network applies pixel-wise and perceptual loss to transform image styles while preserving structural fidelity.

A video camera system identifies interest points to calculate spatial coordinates for 3D models of movable objects.

A monochromatic image sensor uses bidirectional pads to minimize input output pads in compact endoscopic devices.

Signal processing circuit manages visible and invisible light components from an image sensor using dedicated enable signals for sequential operations.

A mobile device camera captures still images of passive landmarks to compute precise indoor position data without active transmitters.

Motorized mirrors adjust zoomed camera fields of view to resolve spatial resolution limits in large-scale environments.

Alternating contrast and non-contrast scans resolve tissue structure loss during alignment, enabling precise diagnostic comparison.

Log chromaticity plane transforms image data into illumination-invariant representations for accurate road marking detection.

Dynamic broadband ultrasonic signal processing extracts acoustic characteristic parameters to evaluate target tissue states.

A method combining satellite area data with image characteristics to identify signal attenuation objects in wireless environments.

An IoT crop monitoring device uses laser sensors and cameras to measure plant height and leaf growth automatically.

A multiple scattering tracing algorithm reconstructs deep tissue images using time-resolved reflection matrix data.

An information processing apparatus corrects image annotations to align with detected edges using machine learning.

Computational correction of non-isoplanatic aberrations enables accurate measurements using simplified lens systems.

Reflectance confocal microscopy replaces invasive biopsy procedures to quantify Meissner's corpuscle density for non-invasive sensory neuropathy diagnosis.

Laser speckle photometry analyzes dynamic optical patterns to identify defects in semiconductor connecting layers.

A spectral filter in the optical path alters light intensity to distinguish spectrally distinct colonies using a grayscale detector.

Pre-print raster image analysis applies trapping to graphical elements, reducing misregistration artifacts without requiring post-print rework.

Optical measurement systems replace subjective visual inspection with precise geometric analysis of meat fractions on bones.

Optical imaging of housing chamber oil identifies foreign substances, enabling early failure detection and reducing life cycle costs.

Idle scanning generates correction data to calibrate sensor output signals before detecting objects.

A synthesized video quality determination system processes reference and rendered frames to quantify flicker distortion using spatio-temporal gradient analysis.

Edge tangent convolution increases coherence of blur difference signals to isolate depth values along fine structures.

A complex linear model corrects phase shifts in MRI echo images by processing phase and amplitude elements of identified homogeneous pixels.

A video system applies synthetic bokeh by measuring user distance to segment foreground and background regions for selective resolution transmission.

Segmenting large point clouds into relevant regions reduces ICP processing time while maintaining high precision in camera position and attitude calculations.

A 3D object image generation method projects volumetric data to define a 2D boundary and extracts voxels within that boundary.

Pre-trained deep learning model processes medical images to extract registration parameters without iterative calculations.

A 3D machine vision system acquires stereo coordinates to position stacked electronic components for precise polarity recognition.

A medical image capturing control device calculates positioning correction amounts from pre-shot images to guide accurate apparatus placement.

Two-pass segmentation with local window statistics distinguishes tissue from non-tissue areas despite uneven illumination and varying staining intensity.

Multi-level domain adaptive object detection segments adaptation into image, RPN, and instance stages to resolve domain gap contradictions.

A machine learning model analyzes local area patterns to determine optical proximity correction strategies, resolving inaccuracy from operator judgment.

A flash lamp correction method compares gray point color temperatures between images to adjust light compensation parameters.

Extracting sparse pixel lines reduces processing load while interpolation maintains measurement precision for stereo camera systems.

Direct photometric alignment resolves optical flow uncertainties and sparse keypoint density to improve object clustering accuracy.

A fingerprint processing method generates collation information using Yule-Walker linear prediction coefficients to extract invariant frequency components from image samples.

Synchronizing camera imaging with wiper cycles allows edge-based interference removal, resolving image quality trade-offs during adverse weather conditions.

A moving object automatic tracking apparatus dynamically registers new preset positions to expand detection coverage beyond initial boundaries.

A sight vector detection method uses eye center location and a gaze model to calculate user target coordinates.

Converting web files to grayscale images enables a convolutional neural network to detect obfuscated exploit kits without extensive feature extraction.

Image analysis outlines knuckles and pockets on papermaking fabrics to calculate contact area, resolving inaccurate wear monitoring.

Fusing X-ray attenuation with time-of-flight distance measurements resolves spatial information loss in standard density imaging.

A learning device updates wide angle-of-view image generation parameters using luminance-dependent weights.

A computer-implemented method analyzes dimensional variables during data acquisition to adapt measurement strategies based on intermediate conformity results.

Spatial optical barcoding decodes single-cell perturbations via fluorescence imaging, replacing complex sequencing to increase throughput.

Classify wafer defects using a simulated layout derived from defect-free scanned images.

Fluid lensing lenslets magnify benthic scenes through refractive index differences at the air-water interface.

An AI image processing device reduces frame resolution to identify regions of interest and modifies their quality for efficient transmission.

Processing circuitry selects moving objects and sensors to track targets based on position data.

Hyperspectral video sensors capture reflectance spectra to identify objects by unique spectral fingerprints, resolving illumination-induced tracking errors.

Embedding characteristic information into a target data stream resolves inefficiencies from multiple queries, improving computational photography consistency.

Generative adversarial networks synthesize canvas images using anchor vectors in a merged space to produce realistic visuals with minimal user input.

Alternating infrared and visible light captures blended video frames with color foreground detail while conserving battery power for extended surveillance.

A trajectory calculation device computes three-dimensional paths using image data from independent cameras without synchronization hardware.