RImCom: raster-order image compressor for embedded video applications

Name: RImCom: raster-order image compressor for embedded video applications
Author: Palaz, Okan, Uğurdağ, Hasan Fatih, Ozkurt, O., Kertmen, B., Donmez, F.

İsim	RImCom: raster-order image compressor for embedded video applications
Yazar	Palaz, Okan, Uğurdağ, Hasan Fatih, Ozkurt, O., Kertmen, B., Donmez, F.
Basım Tarihi:	2017
Basım Yeri	- Springer International Publishing
Konu	Embedded compression, Memory compression, Video processing, Bandwidth reduction, Lossless compression, ASIC, FPGA
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1939-8018
Kayıt Numarası	b0ecc5fb-6e94-45a9-98e6-c2418535f6b4
Lokasyon	Electrical & Electronics Engineering
Tarih	2017
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This paper presents a real-time, rate controlled, end-to-end (encoder and decoder) hardware solution for memory compression of raster-order video streams—named RImCom (short for Raster-order Image Compression). RImCom offers up to 3x compression that is either lossless or lossy at very reasonable PSNR values. The 180 nm ASIC implementation of RImCom achieves 28 fps at Ultra-HD resolution in the slow corner of synthesis. RImCom can match the fps of the state-of-the-art in the literature with 20 % less area or can achieve twice the fps with 55 % more area. Our FPGA implementation is the only end-to-end FPGA solution in the literature to achieve to this day over 60 fps at Full-HD resolution and to offer rate control. This work was motivated by video processing applications that require the previous frame(s) besides the current frame. When processing HD video streams, even when only one previous frame is required besides the current frame, a significant size and bandwidth of memory is needed. If the current frame is compressed on-the-fly with RImCom or a similar solution and stored on DRAM, and the previous frame is read from DRAM and decompressed with a small IP block, then the overall system cost, power consumption, and electromagnetic radiation are reduced.
DOI	10.1007/s11265-016-1211-9
Cilt	88

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RImCom: raster-order image compressor for embedded video applications

Yazar Palaz, Okan, Uğurdağ, Hasan Fatih, Ozkurt, O., Kertmen, B., Donmez, F.

Basım Tarihi 2017

Basım Yeri - Springer International Publishing

Konu Embedded compression, Memory compression, Video processing, Bandwidth reduction, Lossless compression, ASIC, FPGA

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1939-8018

Kayıt Numarası b0ecc5fb-6e94-45a9-98e6-c2418535f6b4

Lokasyon Electrical & Electronics Engineering

Tarih 2017

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin This paper presents a real-time, rate controlled, end-to-end (encoder and decoder) hardware solution for memory compression of raster-order video streams—named RImCom (short for Raster-order Image Compression). RImCom offers up to 3x compression that is either lossless or lossy at very reasonable PSNR values. The 180 nm ASIC implementation of RImCom achieves 28 fps at Ultra-HD resolution in the slow corner of synthesis. RImCom can match the fps of the state-of-the-art in the literature with 20 % less area or can achieve twice the fps with 55 % more area. Our FPGA implementation is the only end-to-end FPGA solution in the literature to achieve to this day over 60 fps at Full-HD resolution and to offer rate control. This work was motivated by video processing applications that require the previous frame(s) besides the current frame. When processing HD video streams, even when only one previous frame is required besides the current frame, a significant size and bandwidth of memory is needed. If the current frame is compressed on-the-fly with RImCom or a similar solution and stored on DRAM, and the previous frame is read from DRAM and decompressed with a small IP block, then the overall system cost, power consumption, and electromagnetic radiation are reduced.

DOI 10.1007/s11265-016-1211-9

Cilt 88