Towards high-speed, low-complexity image coding: variants and modification of JPEG 2000

Author(s):  
Thomas Richter ◽  
Sven Simon
2016 ◽  
Author(s):  
Thomas Richter ◽  
Siegfried Fößel ◽  
Joachim Keinert ◽  
Antonin Descampe

2019 ◽  
Vol 5 (5) ◽  
pp. 50 ◽  
Author(s):  
Zhe Wang ◽  
Trung-Hieu Tran ◽  
Ponnanna Kelettira Muthappa ◽  
Sven Simon

This paper presents a hardware efficient pixel-domain just-noticeable difference (JND) model and its hardware architecture implemented on an FPGA. This JND model architecture is further proposed to be part of a low complexity pixel-domain perceptual image coding architecture, which is based on downsampling and predictive coding. The downsampling is performed adaptively on the input image based on regions-of-interest (ROIs) identified by measuring the downsampling distortions against the visibility thresholds given by the JND model. The coding error at any pixel location can be guaranteed to be within the corresponding JND threshold in order to obtain excellent visual quality. Experimental results show the improved accuracy of the proposed JND model in estimating visual redundancies compared with classic JND models published earlier. Compression experiments demonstrate improved rate-distortion performance and visual quality over JPEG-LS as well as reduced compressed bit rates compared with other standard codecs such as JPEG 2000 at the same peak signal-to-perceptible-noise ratio (PSPNR). FPGA synthesis results targeting a mid-range device show very moderate hardware resource requirements and over 100 Megapixel/s throughput of both the JND model and the perceptual encoder.


2006 ◽  
Vol 03 (02) ◽  
pp. 161-169
Author(s):  
MOHIY M. HADHOUD ◽  
NABIL A. ISMAIL ◽  
FAWZY A. TORKEY ◽  
MOSTAFA A. AHMAD

A low-complexity wavelet-based video coding technique is proposed which adopts JPEG-2000 image coding. The wavelet transformation and subband quantization are developed and optimized in order to reduce the ringing artifacts especially at very low bit rate. The proposed coding technique reduces the coding complexity and performs well at average PSNR. As compared to other rival coding methods the proposed coding policy has a good compression ratio and an improved visual quality.


2013 ◽  
Author(s):  
Guilherme O. Pinto ◽  
Sheila S. Hemami

Sign in / Sign up

Export Citation Format

Share Document