Vector quantization and signal compression
Vector quantization and signal compression
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
IEEE Transactions on Circuits and Systems for Video Technology
Image Compression With Edge-Based Inpainting
IEEE Transactions on Circuits and Systems for Video Technology
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While noise is usually regarded as a problem of the image formation process, we observe that it is also frequently part of natural texture. In this paper, we present a concept for improved compression of noisy texture in natural images. Since noise is problematic to decorrelation-based compression methods, we propose to perform image decomposition by denoising, followed by separate compression of the components. The denoised component is encoded using conventional methods, while the texture component is compressed by encoding parameters of a texture model. It turns out that at similar bit rates, our method can improve visual quality.