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This is to bring together research scholars in signal processing, working in various applications, together and mark the 50th anniversary of this event in London, UK, where this event started 50 years ago.

Signal processing --- Digital techniques

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This conference is focused on imaging and display.

Image processing --- Digital techniques

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Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications.

Image processing --- Digital techniques.

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Audio signal processing is a highly active research field where digital signal processing theory meets human sound perception and real-time programming requirements. It has a wide range of applications in computers, gaming, and music technology, to name a few of the largest areas. Successful applications include, for example, perceptual audio coding, digital music synthesizers, and music recognition software. The fact that music is now often listened to using headphones from a mobile device leads to new problems related to background noise control and signal enhancement. Developments in processor technology, such as parallel computing, are changing the way signal-processing algorithms are designed for audio. Topics covered, but were not limited to, the following areas: - Audio signal analysis - Music information retrieval - Enhancement and restoration of audio - Audio equalization and filtering - Audio effects processing - Sound synthesis and modeling - Audio coding - Sound capture and noise control - Sound source separation - Room acoustics and spatial audio - Signal processing for headphones and loudspeakers - High-performance computing in audio.

Signal processing --- Digital techniques.

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This volume contains papers presented at the 2017 International Conference on Graphics and Signal Processing, which was held during June 24-27, 2017 in Singapore.

Signal processing --- Digital techniques