The PNG and TIF image formats supports 16bit samples, many image processing and manipulation programs perform their operations in 16bit when working on 8bit images to avoid quality loss in processing. Gimp Project File: GIMP's native image format. GIMP Batch Mode Introduction ¶. GIMP comes with a so-called batch mode that allows you to do image processing from the command line. A simple example ¶. This simple script takes a filename and some numeric parameters. It opens the respective file. Processing several files ¶. You might want to.
Gimp Image Processing software, free download
Gimp Batch Image Processing
Table of Contents
Gimp Photo Editing
- Preface
- 1. Digital image representation
- Vector images
- Coordinate system
- Defining shapes
- Bitmap images
- Sampling
- Image compression
- File formats and applications
- 2. The gluas environment
- Installing gluas
- Windows
- In Linux, from source
- Using gluas
- The lua language
- Setting and getting pixel values
- Shadow buffer
- Samples
- A simple program
- Gluas reference
- Functions
- Variables
- Gluas compatible software
- 3. Visual Debugging Aids
- Histogram
- Chromaticity Diagram
- Luminance Profile
- 4. Point operations
- Threshold
- Brightness
- Contrast
- Brightness + Contrast
- Invert
- Gamma
- Levels
- Curves
- Lookup tables
- Excercises
- 1. Exchange Red and Green
- 2. Value boost
- 3. Checkerboard
- 4. Position dependent contrast
- 5. Area operations
- Sampling area
- Edge handling
- Convolution Matrix
- Smoothing filters
- Box blur
- Gaussian blur
- Speeding up blur by decomposing
- Edge preserving
- Rank/statistical filters
- Median
- Unsharp mask
- Misc area filters.
- Jitter
- Excercises
- 1. Extend the convolve example
- 2. Adaptive blur
- 3. Circle
- 6. Resampling
- Affine transformations
- Translation
- Rotation
- Scaling
- Other transformations
- Perspective transform
- Lens correction
- Interpolation
- Bilinear interpolation
- Bicubic interpolation
- Decimation
- Trilinear interpolation
- Excercises
- 1. Interpolation error visualization
- 2. Study the assignment
- 7. Automatic color adjustments
- Contrast stretching
- Automatic white balance
- Grayworld assumption
- Component stretching
- Automatic spatial algorithms
- Local Contrast Enhancement
- Excercises
- 1. Problems with the Local Contrast Enhancement filter
- 8. Countering artifacts
- Static sensor noise
- Film grain
- CCD sampling noise
- Quantification
- Interlacing
- Line doubling
- Linear blend
- Temporal resampling
- Aliasing
- Color casts
- A. Assignment, spring 2007
- Introduction
- Goal
- Report
- Dataset
- Hints
