lossy compression algorithm

Quantization also forms the core of essentially all lossy compression algorithms.

The minimization of perceivable artifacts is a key goal in implementing a lossy compression algorithm.

Most lossy compression algorithms allow for variable compression that trades image quality for file size.

Modulo-N code is a lossy compression algorithm used to compress correlated data sources using modulo arithmetic.

It appears in lossy compression algorithms such as JPEG.

Some lossy compression algorithms are much worse than others in this regard, being neither idempotent nor scalable, and introducing further degradation if parameters are changed.

Lossy compression algorithms preserve a representation of the original uncompressed image that may appear to be a perfect copy, but it is not a perfect copy.

Because of that it is not comparable to other audio formats like MP3, which reach compression rates up to 90% because of their lossy compression algorithms.

Pre-existing lossy compression algorithms implemented on consumer 3D hardware lacked the precision necessary for reproducing normal maps without excessive visible artefacts, justifying the development of 3Dc.

S3TC is a lossy compression algorithm, resulting in image quality degradation, an effect which is minimized by the ability to increase texture resolutions while maintaining the same memory requirements.

The JPEG format is avoided because its lossy compression algorithm is designed for smooth continuous-tone images and introduces visible artifacts in the presence of dithering.

By contrast, the JPEG file format uses a lossy compression algorithm by which the greater the compression, the more information is lost, ultimately reducing image quality or detail that can not be restored.

WebP's lossy compression algorithm is based on the intra-frame coding of the VP8 video format and the classical Resource Interchange File Format (RIFF) as a container format.

To determine what information in an audio signal is perceptually irrelevant, most lossy compression algorithms use transforms such as the modified discrete cosine transform (MDCT) to convert time domain sampled waveforms into a transform domain.

The use in MP3 of a lossy compression algorithm is designed to greatly reduce the amount of data required to represent the audio recording and still sound like a faithful reproduction of the original uncompressed audio for most listeners.

Some of these are as simple as spectrum analysis, but since most image and audio files these days are compressed with lossy compression algorithms, such as JPEG and MP3, they also attempt to look for inconsistencies in the way this data has been compressed.