Image compression is the process of reducing the size of digital images while attempting to preserve the essential visual and of the image. There are two types of compression: and . Lossless compression techniques reduce file size without compromising the quality, retaining all original so that the compressed image can be perfectly .
Lossy image compression reduces the file size by selectively discarding some of the image , with the goal of achieving higher compression ratios. This technique can achieve a compression of between and , depending on how aggressively the data is compressed. However, the significant drawback of lossy compression is the of image quality, where artifacts such as blurring and color inaccuracies can become noticeable.
Lossless compression techniques include methods like and , which efficiently reduce file size while preserving all details. While lossless compression retains the original image perfectly, it generally provides lower compared to lossy methods, making it less efficient for certain types of . Despite its advantages, lossless compression can be computationally , increasing processing time and resource requirements.
Lossy image compression reduces the file size by selectively discarding some of the image , with the goal of achieving higher compression ratios. This technique can achieve a compression of between and , depending on how aggressively the data is compressed. However, the significant drawback of lossy compression is the of image quality, where artifacts such as blurring and color inaccuracies can become noticeable.
Lossless compression techniques include methods like and , which efficiently reduce file size while preserving all details. While lossless compression retains the original image perfectly, it generally provides lower compared to lossy methods, making it less efficient for certain types of . Despite its advantages, lossless compression can be computationally , increasing processing time and resource requirements.
Keywords
data | information | lossless | lossy | compression ratios | data | 95% | reconstructed | huffman coding | loss | quality | run-length encoding (rle) | 85% | intensive | data |