PATENT CLAIM ANALYSIS

Application Number: 16158185
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["345", "660000"]

Abstract:
This invention provides methods for spatially localized image editing. For example, an input image is divided into multiple bins in each dimension. For each bin, a histogram is computed, along with local image statistics such as mean, medium and cumulative histogram. Next, for each tile, a type of adjustment is determined and applied, including adjustment associated with Exposure, Brightness, Shadows, Highlights, Contrast, and Blackpoint. The adjustments are done for all tiles in the input image to render a small adjustment image. The small image is then interpolated, for example, using an edge-preserving interpolation, to get a full size adjustment image with adjustment curve for each pixel. Subsequently, per-pixel image adjustments can be performed across an entire input image to render a final adjusted image.

Claim (Index 1):
A method comprising:\n dividing an input image into multiple tiles; determining image characteristics of pixels within each tile; generating an adjustment image based on the image characteristics of pixels within each tile, wherein the adjustment image is downsampled from the input image; upsampling the adjustment image to create an upsampled image having a same size as the input image; determining a pixel-specific adjustment curve for each pixel in the upsampled image; and applying, for each pixel in the upsampled image, a corresponding pixel-specific adjustment curve to generate a final image.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 97.0
- Lexical Diversity: 1.81481
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15275205', '16035410', '15633632', '12395316', '12201333']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6505873782014601
- 35 USC 102 Novelty (BERT): 0.542735871135651
- Combined Prediction Score: 0.6398022274948791
- Mean Citation Score: 237.288022
- Max Citation Score: 393.95346
- Similarity Product: 363.2492020061732

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test