Image Enhancement TRIZ Cases

Automated image analysis replaces manual reporting to reduce repair time and maintenance costs through self-service fault identification.

A motion prediction model identifies feature points in reference and target images to determine physiological motion fields.

A brightness polarization superimposing unit encodes polarization data as pixel brightness changes.

A quantitative MRI method measures superparamagnetic iron oxide nanoparticle concentrations using contrast difference images.

An active mask segments pixels to skip converged regions during synthesis.

Compensates for contrast loss in thick medical slabs by intensifying multi-resolution sharpening filters.

A skin color identification method calculates target color gamut differences between designated color components to determine confidence degrees.

Cylinder models filter 3D sensor noise to stabilize joint positions, while angle parameter adjustment reduces calculation time for accurate body tracking.

A posture estimation device weights part correlations by estimation difficulty levels to improve positioning accuracy.

Hybrid ultrasound imaging tracks anatomical features during radiotherapy, replacing invasive fiducials and reducing radiation exposure.

A dual camera system captures overlapping and union fields of view to generate a comprehensive depth map for accurate disparity estimation.

Camera measures projected image parameters to generate color corrected display output, compensating for surface color and lighting variations.

A particle imaging system directs scattered light to an imager while diverting source light away.

Maps high dynamic range images to standard dynamic range using luma-dependent chroma correction factors stored in lookup tables.

A virtual image generation system uses disparity maps to detect and replace artifacts in cyclopean views.

Automated structure recognition in sewer pipes replaces manual operation, resolving contradictions between inspection speed and device complexity.

A camera control parameter determination unit identifies optimal settings for clipped image regions during capture.

A calibration method obtains intrinsic and extrinsic matrices for multiple image collection elements using point sets from captured images.

Registering and removing vein regions from infrared images resolves motion interference while improving pulse wave detection accuracy.

Automated image processing detects mura defects in flat panel master panels using candidate pattern matching to resolve inspection noise and dataset complexity.

A generative network synthesizes high-resolution tileable textures using a latent space approach and convolutional discriminator for artifact detection.

A method determines three-dimensional information by optimizing residuals between projected and observed features.

A system generates massive training datasets from single 3D models using virtual augmentation and projection techniques.

A 3D reconstruction system projects multiple 2D camera silhouettes onto a shared volume to define object geometry without voxel grids.

Deep learning model adapts stain variations across labs to improve classification accuracy without manual preprocessing.

A computer system detects user gaze direction to select virtual objects without manual input commands.

Marginal space learning detects native and bypass coronary ostia in cardiac CT volumes without full aorta segmentation.

A first electronic device transmits user pose data to a second device that predicts and generates augmented reality images.

A dimensioning subsystem switches between stereoscopic and optical flow methods based on real-time quality metrics.

A camera position estimation method uses sensor fusion with linear equations to determine optical centers efficiently.

A medical image learning method uses self-supervised pre-training on original and processed images to enhance lesion detection accuracy.

A display device integrates image descriptions into data representations for simultaneous transmission and checking.

Locally low-rank spatial-shot matrices reconstruct multi-shot diffusion-weighted images without phase estimation.

Generative adversarial network extracts spatio-temporal features from continuous frames to resolve temporal information loss in video deblurring.

Ambient light sensors measure voltage values to calculate digital corrections that offset diffuse and specular reflections on displays.

An information processing apparatus sets examination purposes and selects corresponding radiation image processing procedures.

A radiographic machine captures two images at different source-to-detector separations to calculate absolute dimensions and depth information.

Depth map analysis detects head and shoulder profiles to differentiate people from objects, resolving safety versus passage fluidity trade-offs.

Cumulative distribution functions model observer variability in clinical data, preserving hard informative samples while improving classification consistency.

Transparent rotary platform enables simultaneous multi-surface imaging to resolve throughput limitations in automated inspection systems.

Image processing device detects relevant tomographic slices by comparing regions of interest with corresponding areas in reconstructed images.

A vehicle camera apparatus extracts stationary light sources from multiple frames to estimate pitch motion and stabilize images.

RGB-D segmentation with Gaussian mixture models and Markov Random Fields reduces computational overhead for mobile devices.

A cell visualization operation adjusts pixel values using color distribution centers to amplify biological structure visibility.

A virtual camera system adjusts composition and camera parameters within a virtual reality scene to generate modified image data.

A view synthesis circuit transforms reference images using depth data to simulate camera position changes.

A medical image processing device extracts tubular tissues from volume data and selectively displays preserved vessels within an excision region.

A head-mounted display accessory uses a light shield casing to emit bleaching intensity for retinal testing.

An information processing device normalizes ocular potential distributions to calculate user arousal levels.