Basic Knowledge of Image Processing - Image Compression
Source:Shenzhen Kai Mo Rui Electronic Technology Co. LTD2026-05-22
Image compression is feasible owing to data redundancy. Three fundamental types of redundancy exist in images: coding redundancy, inter-pixel redundancy and visual redundancy.
- Lossless CompressionIt optimizes data storage of files and adopts specific algorithms to encode repeated data. The original file can be fully restored without any content change. For digital images, no details will be lost. Only redundant data is eliminated during lossless coding. The reconstructed image after decoding stays completely identical to the original one.
- Lossy CompressionThis method alters image content. It retains most luminance information while merging hue and saturation data with adjacent pixels. The compression ratio varies according to merging degree. It delivers a high compression rate at the cost of degraded image quality. The decoded image cannot be perfectly restored and features certain distortion, yet maintains similar visual performance. It serves as an effective coding approach for high compression ratio.
Related News
Industrial Camera Selection: How to Choose the Most Suitable Camera
2026-08-15Image Transformation and Frequency Domain Processing
2026-08-15Is a lower F-value always better? Many machine vision engineers have fallen into this trap.
2026-08-15- 2026-08-14
Image Enhancement and Spatial Domain Processing
2026-08-14Fundamentals of Digital Image Processing
2026-08-14






+8613798538021