Algorithms
Image Resampling Algorithms
Image resampling is the process of resizing an image by changing the number of pixels. PhotoProX supports several resampling algorithms, each with its own characteristics and quality ratings. Here's a quick overview of the most common resampling algorithms:
| Algorithm | Description | Quality Rating |
|---|---|---|
| Lanczos4 | High-quality resampling method that uses Lanczos interpolation with a window size of 4 | Excellent |
| Mitchell Netravali | Advanced resampling method that provides good visual quality and sharpness | Excellent |
| Bicubic | High-quality resampling method that uses cubic interpolation | Excellent |
| Cubic Spline | Smooth resampling method that uses cubic spline interpolation | Good |
| Bilinear | Simple resampling method that uses linear interpolation | Fair |
| Area | Basic resampling method that computes the average of neighboring pixels | Poor |
Models
Color Models
Although PhotoProX supports editing in RGB, CMYK, HSV, and HSL color models, it's important to understand the differences between them and when to use each one. Here's a quick overview of the most common color models:
| Color Model | Description | When to Use | Supported in PhotoProX |
|---|---|---|---|
| RGB | Additive color model using red, green, and blue components | For digital displays and web design | Yes |
| CMYK | Subtractive color model using cyan, magenta, yellow, and black components | For print and graphic design | Yes |
| HSL | Hue, saturation, and lightness color model, often used for web design | Manipulating colors in CSS and web design | Yes |
| HSV (HSB) | Hue, saturation, and value (or brightness) color model | Color manipulation and selection in photo editing | Yes |
| Lab | CIE 1976 (L*, a*, b*) color model, representing perceptual color differences | Color correction and comparison in photo editing | No |
| XYZ | CIE 1931 color space, used as a reference for other color spaces | Color science and color space conversions | No |
| YUV | Color space used in video compression, separating luminance (Y) from chrominance (U, V) | Video processing and compression | No |
Background Remover Models
Our background remover allows you to remove the background from any image. We use different well developed models to remove the background. Choosing a model can be a bit tricky, but here's a table to help you decide:
| Model | Intended Use Case |
|---|---|
| IsNet-anime | Segmenting objects in anime images |
| IsNet-general-use | General-purpose instance-aware segmentation |
| U2Net | Segmenting objects from complex backgrounds |
| U2NetP | High-performance image segmentation |
| U2Net-human-seg | Segmenting human silhouettes |
| U2Net-cloth-seg | Segmenting clothing items |
| Silhouette | Segmenting human silhouettes from images |