From 1e5482a851a22ebb5076ee612a3fac28be34d21b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Vojt=C4=9Bch=20Moravec?= <theazgra@gmail.com> Date: Wed, 23 Jan 2019 12:11:20 +0100 Subject: [PATCH] Formatted document. --- document/citations.bib | 8 ++- document/document.pdf | Bin 149111 -> 142003 bytes document/document.tex | 153 ++++++++++++++++++++--------------------- 3 files changed, 82 insertions(+), 79 deletions(-) diff --git a/document/citations.bib b/document/citations.bib index 4a7c8da..901d687 100644 --- a/document/citations.bib +++ b/document/citations.bib @@ -1,6 +1,6 @@ @manual{czi_spec, organization = "Carl Zeiss Microscopy GmbH", - title = ZISRAW (CZI) File Format", + title = "ZISRAW (CZI) File Format", year = 2016, number = "MC33879", note = "Version 1.2.2", @@ -18,3 +18,9 @@ eprint = {https://www.biorxiv.org/content/early/2017/07/21/164624.full.pdf}, journal = {bioRxiv} } + +@misc{omeweb, + title = {Open Microscopy Environment}, + howpublished = 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%\setlist{nosep} -\newcommand{\image}[4]{\begin{figure}[h!] \centering \includegraphics[width=#1\linewidth]{figures/#2} \label{#3} \caption{#4} \end{figure}} -\newcommand{\bThreed}{B$^3$D} +\newcommand{\image}[4]{\begin{figure}[h!] \centering \includegraphics[width=#1\linewidth]{figures/#2} \caption{#4} \label{#3} \end{figure}} +\newcommand{\bThreed}{B$^3$D } \author{Moravec VojtÄ›ch} \title{Semestrálnà projekt} \date{2018/2019} \begin{document} -% \maketitle -% \newpage +%\maketitle +%\newpage \section{ZISRAW (CZI) formát} -VÅ¡e co bude v této sekci uvedeno vychýzà z oficiálnà specifikace formátu CZI. \cite{czi_spec}. - -Formát CZI je urÄen pro uloženà obrazků, samotné schéma uloženà dat ale vycházà z formátu ZISRAW, který je urÄen pro různé typy souborů. -HlavnÃm cÃlem formátu ZISRAW je umožnit streamovánà dat a metadat v binárnà podobÄ› (metadata jsou buÄ binárnà nebo v XML). \textit{CZI formát je aktuálnÄ› jedinou implementacà ZISRAW.} - -\subsection{CZI segmenty} - -CZI soubor se skládá z Å™etÄ›zce segmentů, každý segment je identifikován hlaviÄkou s identifikátorem (SID). HlaviÄka segmentu se skládá ze 3 polÃ: -\begin{itemize} - \item \textbf{ID} - 16 B, unikátnà ANSI kód s prefixem \say{ZISRAW} - \item \textbf{AllocatedSize} - 8 B, velikost rezervována pro data segmentu (velikost je vždy násobkem 32 B) - \item \textbf{UsedSize} - 8 B, poÄet bytů, kolik už je využitu daty segmentu (jestliže 0, pak celý segment je využit) -\end{itemize} - -Za hlaviÄkou se nacházà data daného segmentu. Tyto data se skládájà ze dvou ÄástÃ, kde prvnà Äást urÄuje velikost druhé Äásti a to jaké data se v ni nacházejÃ. HlavnÃmi typy dat jsou: -\begin{itemize} - \item \textbf{Pixely} (\textit{ImageSubBlock}) - pixely obrázků a s nim pÅ™Ãmo spjata metadata. RAW nekompresované obrázky mohou být vÃcedimenzionálnà - \item \textbf{Metadata} - každý segment obsahuje jedny metadata. Ty obsahujà XML Å™etÄ›zec, odpovÃdajÃcà danému schématu, a binárnà sekcà s dalÅ¡Ãmi daty ve formátu ZIP - \item \textbf{PÅ™Ãlohy} (\textit{Attachment}) - různé typy pÅ™Ãloh -\end{itemize} - -\subsection{ZISRAW kontejner} -PoÅ™adà bytů je little-endian. Data jsou uložena v segmentech s definovanými schématy, každý segment obsahuje binárnà data nebo XML Å™etÄ›zec. -Je povoleno uloženà do jednoho nebo vÃce souborů, ale vždy existuje jeden hlavnÃ, \emph{master} soubor. Každý ZISRAW soubor obsahuje tyto typy segmentů: -\begin{itemize} - \item \textbf{FileHeader} - \item \textbf{Metadata} - nevyžadováno - \item \textbf{SubBlockDirectory} - adresář vÅ¡ech SubBlock. Je vyžadován pokud existuje nÄ›jaký SubBlock - \item \textbf{SubBlock} - každý SubBlock ve svém segmentu, může obsahovat XML metadata a binárnà data - \item \textbf{AttachmentDirectory} - adresář vÅ¡ech Attachment, je vyžadován pokud existuje nÄ›jaký Attachment - \item \textbf{Attachment} - každý Attachment ve svém segmentu. PÅ™Ãloha je identifikována svým názvem -\end{itemize} - -SubBlockDirectory a AttachmentDirectory obsahujà informace potÅ™ebné pro pÅ™eÄtenà pouze potÅ™ebného segmentu, dovolujà pÅ™eskoÄit naÄÃtánà segmentů, -které nejsou potÅ™eba. - -% \subsection{Schémata segmentů} -% V této sekci uvedeme základnà informace o schématech segmentů. Jak již bylo zmÃnÄ›no, každý segment zaÄÃná hlaviÄkou se 3 poli, Id, AllocatedSize a UsedSize. -% Pole Id nabýva hodnoty z této enumerace SID: -% \begin{itemize} -% \item \textbf{ZISRAWFILE} - hlaviÄka souboru, nacházà se na zaÄátku souboru -% \item \textbf{ZISRAWDIRECTORY} - adresář segmentů -% \item \textbf{ZISRAWSUBBLOCK} - obsahuje data obrázků -% \item \textbf{ZISRAWMETADATA} - obsahuje metadata -% \item \textbf{ZISRAWATTACH} - pÅ™Ãlohy -% \item \textbf{ZISRAWATTDIR} - adresář pÅ™Ãloh -% \item \textbf{DELETED} - smazaný segment, mÄ›l by být ignorován -% \end{itemize} - -\subsection{Obrazové data} -Data obrázků se nacházejà v \textbf{SubBlock} segmentech, tento segment obsahuje vÅ¡echny informace o tom jak jsou data uložena a jak je interpretovat. - -V CZI formátu jsou brány v potaz různé dimenze obrázku v \\multi-dimenzionálnÃm hyperprostoru. Jsou jimi napÅ™Ãklád: -pozice ve smÄ›ru X, pozice ve smÄ›ru Y, Äas zachycenÃ, úhel zachycenÃ, osvÄ›tlenà pÅ™i zachycenà atd. Pixely mohou být uloženy v tÄ›chto typech: +VÅ¡e co bude v této sekci uvedeno vycházà z oficiálnà specifikace formátu CZI \cite{czi_spec}, spoleÄnosti Carl Zeiss ZEN software. + +Formát CZI je urÄen pro ukládánà obrazů a metadat, které popisujà jak samotný obraz tak i způsob zÃskánà obrazů, napÅ™Ãklad v jakých podmÃnkách byl snÃmek zÃskán. +CZI vycházà z obecnÄ›jÅ¡Ãho formátu ZISRAW, jehož hlavnÃm cÃlem je umožnit streamovánà velkých dat a metadat v binárnà podobÄ›. Metadata jsou ukládány ve formátu XML +s kódovánÃm UTF-8. Metadata v souberech CZI vycházejà ze specifikace OME (Open Microscopy Environment) \cite{omeweb}. + +Struktůra ZISRAW/CZI formátu byla navržena tak, aby dovolovala streamovánà velkého množstvà dat, proto se ZISRAW/CZI soubory skládajà ze segmentů. +Každý segment je identifikován svou hlaviÄkou, která obsahuje informace o jaký segment se jedná a jaká je jeho velikost. Za hlaviÄkou následuje Äást s daty. +V souboru nalezneme speciálnà segmenty, které fungujà jako adresáře pro segmenty s obrazy a pÅ™Ãlohami. +Tyto adresáře odkazujà na pozice v souboru, kde se nacházà požadované segmenty, což umožňuje naÄÃtánà pouze tÄ›ch ÄástÃ, které jsou potÅ™eba. + +Obrazy se nacházejà v segmentech, oznaÄené jako \mbox{ZISRAWSUBBLOCK}. KromÄ› samotných pixelů zde najdeme i metadata, specifické pro daný obraz. +Specifickými metadaty mohou být napÅ™. minimálnà a maximálnà hodnoty pixelů, poÄet bitů na pixel a seznam dvojic klÃÄ/hodnota, udávajÃcà libovolnou informaci o obrazu (datum poÅ™ÃzenÃ, pozice mikroskopu v \SI{}{\micro\metre}). + + +Formát CZI dovoluje různé typy pixelu, jak pro barevné tak i ÄernobÃlé obrazy, seznam vÅ¡ech podporovaných typů najdeme v Tabulce \ref{tab:pixelTypes}. \begin{figure}[h!] \centering \begin{tabular}{| l | c | l |} \hline - Typ & Byte/Pixel & Poznámka \\\hline + Typ & Byte/Pixel & Poznámka \\\hline Gray8 & 1 & 8 bit unsigned \\\hline Gray16 & 2 & 16 bit unsigned \\\hline Gray32Float & 4 & 32 bit IEEE float \\\hline @@ -101,36 +65,69 @@ pozice ve smÄ›ru X, pozice ve smÄ›ru Y, Äas zachycenÃ, úhel zachycenÃ, osvÄ› Gray32 & 4 & 32 bit signed \textit{planovaný} \\\hline Gray64 & 8 & 64 bit float \textit{planovaný} \\\hline \end{tabular} + \caption{Tabulka podporovaných typů pixelu v CZI} + \label{tab:pixelTypes} \end{figure} -Data pixelů v CZI souboru mohou být jak nekomprimovaná tak komprimovaná. -Nekomprimovaná data jsou streamem pixelů podle jejich typu. Specifikace povoluje komprimaci dat pixelů pomocà LZW, -JPEG a Jpeg-Xr. -LZW je bezztrátová komprese, aktuálnÄ› se nepoužÃvá ve \say{widefield} mikroskopii. JPEG komprese je ztrátová a -může být použita pouze pro 2D obrazy. -Jpeg-XR podporuje jak ztrátovou tak i bezztrátovou kompresi. Vycházà z JPEG a nabÃzà menÅ¡Ã velikost pro stejnou kvalitu obrazu, ale stejnÄ› jako JPEG, je omezen na 2D obrazy. +Informaci o typu pixelu nalezneme v metadatech, které jsou spoleÄné pro vÅ¡echny obrazy nacházejÃcà se v CZI souboru. +Mimo typ pixelu, nalezneme v tÄ›chto spoleÄných vlastnostech dalÅ¡Ã zajÃmavé informace, nÄ›které jsou uvedeny v Tabulce \ref{tab:imageMetadata}, +nutno podotknout, že soubor nemusà tyto informace obsahovat. +\begin{figure}[h!] + \centering + \begin{tabular}{| l | l |} + \hline + KlÃÄ & Význam \\\hline + SizeX & Å ÃÅ™ka obrázku \\\hline + SizeY & Výška obrázku \\\hline + SizeC & PoÄet kanálů \\\hline + SizeZ & PoÄet Å™ezů ve smÄ›ru Z \\\hline + SizeT & PoÄet Äasových bodů \\\hline + SizeH & PoÄet fázà \\\hline + SizeR & PoÄet různých úhlu, ze kterých byl obraz zÃskán \\\hline + SizeS & PoÄet různých scén \\\hline + SizeI & PoÄet různých nasvÃcenà \\\hline + SizeM & PoÄet dÃlů mozaiky \\\hline + SizeB & PoÄet snÃmánà jednoho obrazu \\\hline + SizeV & PoÄet různých pohledů \\\hline + PixelType & Typ pixelu \\\hline + Dimensions & DodateÄné informace k dimenzÃm \\\hline + \end{tabular} + \caption{Základnà informace o obrazech v souboru CZI} + \label{tab:imageMetadata} +\end{figure} + +Å ÃÅ™ka, výška obrázku, poÄet kanálů, Å™ezů, fázà atd. to vÅ¡e jsou \say{dimenze} obrázku, pro které mohou být uvedeny dodateÄné informace. Taktéž, kanály se mohou liÅ¡it +typem pixelu, poÄtem bitů na komponentu, metodou zÃskanà atd., proto i pro nÄ› najdeme specifická metadata. + +Data pixelu mohou být v CZI souborech jak komprimovaná tak nekomprimovaná. Specifikacà jsou povolené komprese +LZW, JPEG a JPEG-XR. VÅ¡echny tyto komprese jsou specifikacà omezeny na 2D obrazy. LZW je bezztrátová komprese a momentálnÄ› se nepoužÃvá pro +Å¡irokopásmovou mikroskopii. JPEG je ztrátová komprese a JPEG-XR je modernÄ›jÅ¡Ã variantou JPEG, která nabÃzà lepÅ¡Ã kompresnà pomÄ›ry a také bezztrátovou kompresi. + +\newpage \section{Kompresnà knihovna \bThreed} -\bThreed je Open Source knihovna, Å™eÅ¡Ãcà problém komprese obrazů z mikroskopu. Je napsána v jazyce C++ a využÃvá CUDA architektury. -Slibovaná rychlost komprese je vÃce než 1 GB/s \cite{Balazs164624}. Tato knihovna nabÃzà jak ztrátovou tak i bezztrátovou kompres, kde ztrátová zohledňuje fakt, -že se jedná o obrazy z mikroskopu a uživatel si může zvolit maximálnà chybu, kterou bude tolerovat. Definuji takzvaný WNL (\emph{within noise level}) mód -ztrátové komprese, kde kvantizaÄnà krok je roven Å¡umu v obraze. V tomto módu je chyba vzniklá ztrátovou kompresà mnohem menÅ¡Ã, než Å¡um nacházejÃcà se v obraze. +Tato sekce vycházà z \cite{Balazs164624}, taktéž grafy jsou pÅ™ebrány z této práce. +\bThreed je Open Source knihovna, Å™eÅ¡Ãcà problém komprese obrazů z mikroskopu. Je napsána v jazyce C++ a využÃvá CUDA architekturu. +Slibovaná rychlost komprese je vÃce než 1 GB/s. Tato knihovna nabÃzà jak ztrátovou tak i bezztrátovou kompresi, kde ztrátová zohledňuje fakt, +že se jedná o obrazy z mikroskopu a uživatel si může zvolit maximálnà chybu, kterou bude tolerovat. +AutoÅ™i knihovny definuji tzv. WNL (\emph{within noise level}) mód ztrátové komprese, kde kvantizaÄnà krok je roven Å¡umu v obraze. +V tomto módu je chyba, vzniklá ztrátovou kompresÃ, mnohem menÅ¡Ã než Å¡um nacházejÃcà se v obraze. Kompresnà pomÄ›ry bezztrátové a WNL komprese můžeme vÃdÄ›t na Obrázku \ref{img:compressionComp}. \image{0.65}{compressionComparsionBars.pdf}{img:compressionComp}{Porovnánà kompresnÃch pomÄ›rů různých vzorků} -Vliv ztrátové komprese na obraz byl testován na datasetu ebrya octomilky obecné, metodou segmentaÄnÃho pÅ™ekrývánÃ. Testovalo se vzhledem k originálnÃmu -obrazu, a hodnota 1 znamená, že se obrazy dokonale pÅ™ekrývajÃ. Na Obrázku \ref{img:segoverlap}, můžeme, že pÅ™ekryv klesá až pÅ™i velkých komrpesnÃch pomÄ›rech. -PÅ™ekryv pro WNL je téměř dokonalý 0,996. +Vliv ztrátové komprese na obraz byl testován na datasetu embrya octomilky obecné, metodou segmentaÄnÃho pÅ™ekrývánÃ. Byl testován komprimovaný obraz s originálnÃm +obrazem, a hodnota 1 znamená, že se obrazy dokonale pÅ™ekrývajÃ. V grafu na Obrázku \ref{img:segoverlap}, můžeme vidÄ›t, že pÅ™ekryv klesá až pÅ™i velkých +kompresnÃch pomÄ›rech. PÅ™ekryv pro WNL mód je téměř dokonalý 0,996. \image{0.65}{noise_overlap.pdf}{img:segoverlap}{Vliv ztrátové komprese na kvalitu obrazu} -Použitý bezztrátový algoritmus se skládá ze dvou ÄástÃ. V prvnà Äásti se provede predikce hodnoty pixelu vzhledem k hodnotám jeho sousedů a v -druhé Äásti jsou chyby predikce zakódovány pomocà RLE a Huffmana. Bezztrátová komprese dosáhla kompresnÃho pomÄ›ru 2,7 a pokud je použita WNL komprese -dostáváme se až na kompresnà pomÄ›r 5, a chyba lokalizace jediné molekuly v obrazu vstoupla pouze o 4\%. (Bylo testováno na datasetu zÃskaném pomocà -Single-Molecule Localization Microscopy, rozliÅ¡enà 2-25 nm). +Použitý bezztrátový algoritmus se skládá ze dvou ÄástÃ. V prvnà Äásti se provede predikce hodnoty pixelu vzhledem k hodnotám jeho sousednÃch pixelů a v +druhé Äásti jsou chyby predikce zakódovány pomocà RLE a Huffmana. + +Bezztrátová komprese dosáhla kompresnÃho pomÄ›ru 2,7 kdežto ztrátová WNL komprese dosahuje kompresnÃho pomÄ›ru 5. Chyba lokalizace jediné molekuly v obrazu vstoupla pouze o 4\%. (Bylo testováno na datasetu zÃskaném pomocà Single-Molecule Localization Microscopy, rozliÅ¡enà 2-25 nm). -% \bibliography{citations} -% \bibliographystyle{ieeetr} +\bibliography{citations} +\bibliographystyle{ieeetr} \end{document} \ No newline at end of file -- GitLab