Jpeg 2000
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Dokumen ini membahas tentang JPEG 2000, teknik kompresi gambar yang lebih efisien dari JPEG standar. JPEG 2000 menggunakan transformasi wavelet dan kuantisasi koefisien wavelet sebelum dilakukan kompresi menggunakan algoritma Arithmetic Coding. Dokumen ini membandingkan efisiensi kompresi JPEG 2000 dan JPEG standar serta menjelaskan alur kompresi dan dekompresi JPEG 2000.
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ANALISIS PENGARUH INDUSTRI BATU BARA TERHADAP PENCEMARAN UDARA.pdf
Industri batu bara telah menjadi salah satu penyumbang utama pencemaran udara global. Proses ekstraksi batu bara, baik melalui penambangan terbuka maupun penambangan bawah tanah, menghasilkan debu dan gas beracun yang dilepaskan ke atmosfer. Gas-gas tersebut termasuk sulfur dioksida (SO2), nitrogen oksida (NOx), dan partikel-partikel halus (PM2.5) yang berbahaya bagi kesehatan manusia dan lingkungan. Selain itu, pembakaran batu bara di pembangkit listrik dan industri menyebabkan emisi karbon dioksida (CO2), yang merupakan penyebab utama perubahan iklim global dan pemanasan global.
Pencemaran udara yang disebabkan oleh industri batu bara juga memiliki dampak lokal yang signifikan. Di sekitar area penambangan, debu batu bara yang dihasilkan dapat mengganggu kesehatan masyarakat dan ekosistem lokal. Paparan terus-menerus terhadap debu batu bara dapat menyebabkan masalah pernapasan seperti asma dan bronkitis, serta berkontribusi pada penyakit paru-paru yang lebih serius. Selain itu, hujan asam yang disebabkan oleh emisi sulfur dioksida dapat merusak tanaman, air tanah, dan ekosistem sungai, mengancam keberlanjutan lingkungan di sekitar lokasi industri batu bara.
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Spread spectrum is a communication technique that spreads a narrowband communication signal over a wide range of frequencies for transmission then de-spreads it into the original data bandwidth at the receive.
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image compression ppt
This document discusses image compression techniques. It begins by defining image compression as reducing the data required to represent a digital image. It then discusses why image compression is needed for storage, transmission and other applications. The document outlines different types of redundancies that can be exploited in compression, including spatial, temporal and psychovisual redundancies. It categorizes compression techniques as lossless or lossy and describes several algorithms for each type, including Huffman coding, LZW coding, DPCM, DCT and others. Key aspects like prediction, quantization, fidelity criteria and compression models are also summarized.
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Jpeg 2000
- 1. JPEG 2000 Romadhona Fajar (1107111096) Andang Trimulyo (1107110086) Ridwan Nurdiyanto Putra (1107112068) Janitra Ezra Putra (1107112058) Imam Aburizal Albana (1107110079)
- 2. Latar Belakang Kompresi data merupakan suatu tindakan untuk memperkecil suatu data sehingga terjadi penghematan dan efisiensi memori, sehingga mempersingkat waktu transmisi data. Selain itu, kompresi juga memiliki fungsi untuk menghilangkan redudansi (kejadian berulangnya data yang sama dalam sebuah database yang mengakibatkan pemborosan memori) dan mengoreksi error dalam suatu data. Terdapat dua jenis kompresi data berdasarkan hasil keluaran (output) dari dekompresi, yaitu lossless data compression dan lossy data compression. Lossless data compression memiliki hasil dekompresi yang tepat sama persis dengan data sebelum dikompresi. Sedangkan lossy data compression memiliki hasil dekompres yang tidak sama persis, tetapi memiliki persepsi terhadap semantik data yang sama. Dewasa ini, teknik kompresi sudah diterapkan di banyak bidang. Penerapan teknik kompresi yang sering dilakukan adalah pada bidang grafika dan citra. Salah satu teknik kompresi yang sering digunakan adalah Joint Photographic Experts Group 2000 standard atau yang lebih dikenal dengan JPEG 2000 yang lebih efisien daripada JPEG standar.
- 3. Rumusan Masalah Hal – hal yang akan dibahas meliputi berbagai hal seperti: 1. Apa itu JPEG 2000 2. Bagaimana alur kompresi JPEG 200 3. Membandingkan efiensi kompresi JPEG 2000 dan JPEG standar
- 5. Algoritma Encoding Algoritma Encoding yang digunakan adalah Arithmetic Coding, dengan inputan berupa koefisien wavelet yang sudah dikuantisasi. Secara umum, algoritma Arithmetic Encoding adalah sebagai berikut: • Inisialisasi tabel distribusi Rrekuensi dan Range Interval • Inisialisasi L = 0, R = 1 • for i = 1 to jumlah_simbol do • W = R − L • L = L + W ∗ left−RI(i) • R = L + w ∗ right−RI(i) • end for • tag = (L + R) / 2