Image Enhancement TRIZ Cases

A radiation imaging system acquires projection images by comparing them to simulated 3D models to determine optimal viewing angles.

A contouring processor retrieves reference contour data from a database to validate manually entered contours, reducing irradiation errors in radiotherapy.

A compact imaging lens uses a rear-group lens surface to balance optical aberrations while reducing device size.

Holographic imaging captures suspended cells without staining, while image moments classify white blood types invariant to illumination variations.

A surveillance image processing method adjusts output bitrate by determining a maximum contrast subtraction rate based on image brightness.

A correction unit aligns luminance distributions between visible and non-visible light images before combining them with chromaticity data.

A verification tool detects base patterns and validates sub-patterns to control functional output.

A convolutional neural network processes medical images to identify and remove motion artifacts automatically.

Automated warping aligns bitmap add-ons with moving faces, resolving manual frame-by-frame processing bottlenecks.

A vehicle image forming device adjusts a virtual projection surface shape to synthesize camera images.

Reconstructs 3D space models from photos by segmenting rooms into planes and extracting point coordinates for accurate texture restoration.

Fitting an approximate circle to the outer shape of non-uniform light intensity stabilizes the optical axis and reduces diameter calculation errors.

A system generates three-dimensional wound images by aligning two-dimensional white light and fluorescence data using fiducial markers.

An apparatus processes pelvic floor ultrasound images by automatically detecting anatomical features to perform measurements.

A target color adjustment strategy transforms pixel hues to improve distinguishability for color-blind users.

Converting pixels to neural spikes enables real-time scene understanding by processing only changing visual data, avoiding continuous static frame analysis.

A terminal device processes spliced image layers to generate a third image with pixel-level transparency attributes.

Infrared fluorescence detection simplifies hardware requirements while maintaining high reading accuracy and speed.

A neural network calculates distance maps and reflection patterns to distinguish real three-dimensional objects from two-dimensional spoofs.

A medical image processing apparatus modifies tomographic image shapes using imaging parameters to align radial scan data.

Converting pixels to the frequency domain resolves detection accuracy limits in spatial processing by enabling precise gradient calculations.

A microscope-scanner acquires image data at multiple lateral positions and depths to generate synthetic 2D images with enhanced depth of field.

Automated visual inspection replaces manual checks to resolve accuracy and efficiency bottlenecks in meal box quality control.

A phase modulator at the optical stop encodes wavefront data for digital focus correction in compact intraoral cameras.

Hybrid large feature mining extracts spatial and transform domain attributes to identify tampered regions in digital images.

An image processing apparatus sets encoding areas in both original and corrected images using separate user interfaces.

An automatic teeth whitening system uses instance segmentation to detect teeth regions and apply whitening effects without user intervention.

Segmenting video streams into independent tiles reduces processing complexity while maintaining high-resolution target recognition accuracy.

A critic neural network generates betting map weights to modulate pixel-wise cross entropy loss, improving inter-pixel consistency and segmentation accuracy.

Subsampling images to generate foreground masks reduces processor and memory resource consumption on mobile devices.

Automated 3D scanning replaces manual measurement to eliminate human error and ensure accurate positioning of high voltage cable accessories.

A system combines local 3D models from multiple devices to generate a unified global model for augmented reality rendering.

Automated Doppler image processing extracts velocity envelope curves and matches shape patterns to identify cardiac valve diseases.

Motion-based region segmentation system analyzes global and local motion to separate video frames into distinct layers.

A vision pipe architecture executes image scaling and computer vision operations concurrently on luminance data.

Occlusion information filters overlapping motion vectors, resolving ambiguity in depth-less scenes without extra sensors.

Segmented eigen-codebooks reduce computational complexity and storage needs while maintaining accuracy across varying lighting conditions.

Depth estimation and segmentation automate Barrett's oesophagus quantification, resolving operator-dependent measurement errors.

A reflection quantitative phase microscope measures three-dimensional cell shape to determine stem cell flatness without external reagents.

Iterative across-camera image matching tracks objects through scenes using high-dimensional feature vectors and multi-cost optimization.

A computer-implemented method estimates epipolar movement direction by averaging flow vectors from difference images to isolate moving regions.

Shadow mapping renders terrain visibility from point clouds, reducing computational burden for mobile devices.

A measuring device calculates level value frequency to specify a dynamic range excluding noise for spectrogram displays.

A selecting unit chooses a scene-specific dictionary based on estimated imaging direction to optimize detection performance.

Ocular surface interferometry replaces fluorescein staining with optical interference to measure tear film break-up time without altering tear film properties.

A data processor analyzes gaze direction and proximity to identify specific customer interest in retail objects.

A lattice map segments point cloud data into unit pixels to calculate candidate box costs for accurate oriented bounding box generation.

A controller integrates GPS coordinates with augmented reality marker data to determine the current position of a mobility device.

Server intermediary manages avatar mapping data to resolve compatibility issues when updating recognition components.

A computer system adjusts pixel values in red, green, and blue channels using statistical measurements from sample images to restore natural colors.

Time-of-flight camera measures subject distance while neural network classifier determines distortion state to correct subject size and fill background blanks.

A signal processing apparatus applies adaptive smoothing and random noise addition to image data based on local contrast metrics.

A camera captures display output while an AI processor calculates position offsets to correct alignment errors across multiple panels.

Combining visible and non-visible light into a multispectral guide image resolves unreliable structural correspondences in low-light conditions.

An interactive avatar captures speech and motion data to evaluate communication effectiveness.

Automated image processing extracts window dimensions using fiducial reference patterns, eliminating manual measurement errors and professional service costs.

Nonlinear weighting coefficients derived from feature amounts preserve structure edges while removing streak artifacts in X-ray CT imaging.

A non-visible radiation imaging system fuses visible light data with infrared thermal images to generate high-resolution diagnostic output.