26 citations · 46 across the 11 of their papers we have counts for
12 papers
Zimtohrli: An Efficient Psychoacoustic Audio Similarity Metric
Jyrki Alakuijala, Martin Bruse, Sami Boukortt +2
This paper introduces Zimtohrli, a novel, full-reference audio similarity metric designed for efficient and perceptually accurate quality assessment. In an era dominated by computa…
The JPEG XL Image Coding System: History, Features, Coding Tools, Design Rationale, and Future
Jon Sneyers, Jyrki Alakuijala, Luca Versari +9
JPEG XL is a new image coding system offering state-of-the-art compression performance, lossless JPEG recompression, and advanced features. It aims to replace JPEG, PNG, GIF, and o…
Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
Blaise Agüera y Arcas, Jyrki Alakuijala, James Evans +5
The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature of most substrates whe…
Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG
Martin Bruse, Luca Versari, Zoltan Szabadka +1
We performed pairwise comparisons by human raters of JPEG images from MozJPEG, libjpeg-turbo and our new Jpegli encoder. When compressing images at a quality similar to libjpeg-tur…
Intelligent Matrix Exponentiation
Thomas Fischbacher, Iulia M. Comsa, Krzysztof Potempa +3
We present a novel machine learning architecture that uses the exponential of a single input-dependent matrix as its only nonlinearity. The mathematical simplicity of this architec…
Committee Draft of JPEG XL Image Coding System
Alexander Rhatushnyak, Jan Wassenberg, Jon Sneyers +15
JPEG XL is a practical approach focused on scalable web distribution and efficient compression of high-quality images. It provides various benefits compared to existing image forma…
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia M. Comsa, Krzysztof Potempa, Luca Versari +3
The timing of individual neuronal spikes is essential for biological brains to make fast responses to sensory stimuli. However, conventional artificial neural networks lack the int…
Randen - fast backtracking-resistant random generator with AES+Feistel+Reverie
Jan Wassenberg, Robert Obryk, Jyrki Alakuijala +1
Algorithms that rely on a pseudorandom number generator often lose their performance guarantees when adversaries can predict the behavior of the generator. To protect non-cryptogra…
Noise generation for compression algorithms
Renata Khasanova, Jan Wassenberg, Jyrki Alakuijala
In various Computer Vision and Signal Processing applications, noise is typically perceived as a drawback of the image capturing system that ought to be removed. We, on the other h…
Guetzli: Perceptually Guided JPEG Encoder
Jyrki Alakuijala, Robert Obryk, Ostap Stoliarchuk +3
Guetzli is a new JPEG encoder that aims to produce visually indistinguishable images at a lower bit-rate than other common JPEG encoders. It optimizes both the JPEG global quantiza…
Users prefer Guetzli JPEG over same-sized libjpeg
Jyrki Alakuijala, Robert Obryk, Zoltan Szabadka +1
We report on pairwise comparisons by human raters of JPEG images from libjpeg and our new Guetzli encoder. Although both files are size-matched, 75% of ratings are in favor of Guet…
Fast keyed hash/pseudo-random function using SIMD multiply and permute
Jyrki Alakuijala, Bill Cox, Jan Wassenberg
HighwayHash is a new pseudo-random function based on SIMD multiply and permute instructions for thorough and fast hashing. It is 5.2 times as fast as SipHash for 1 KiB inputs. An o…