JPEG-LS-E: Lossless & Near-Lossless JPEG-LS Encoder
About this offer
The JPEG-LS-E core implements a highly efficient, low-power, lossless and near-lossless image compression engine that is compliant to the JPEG-LS, ISO/IEC 14495-1 standard. Based on LOCO-I (LOw COmplexity LOssless COmpression for Images), the JPEG-LS algorithm leads in numerically lossless compression efficiency, attaining compression ratios similar or superior to those obtained with more advanced algorithms such as JPEG 2000. JPEG-LS also enables hardware implementations with a much smaller silicon footprint and lower memory requirements, thanks to its lower computational complexity and line-based processing. Further, the Near-Lossless mode of the JPEG-LS standard makes higher compression ratios and visually lossless compressed images feasible, allowing the user to set the maximum acceptable difference between a reconstructed and an original image sample. The JPEG-LS-E core delivers the full compression efficiency of the standard in a compact and easy-to-use hardware block. The core interfaces to the system via standardized AMBA® interfaces: it accepts images and outputs compressed data via AXI4-Stream interfaces, and provides access to its control and status registers via a 32-bit APB interface. After its registers are programmed, the core can encode an arbitrary number of images without requiring any further assistance or action from the system. Users can optionally insert timestamps or other metadata in the compressed stream using a dedicated AXI Streaming interface. The core is designed with industry best practices, and its reliability has been proven through both rigorous verification and silicon validation. The deliverables include a complete verification environment and a bit-accurate software model.
Details
Regional Coverage
Americas:
Latin America Region:
Anguilla
Barbados
Montserrat
St. Martin
Bolivia
Martinique
Paraguay
Costa Rica
Guyana
Colombia
Ecuador
St. Barthelemy
French Guiana
Trinidad and Tobago
Honduras
Argentina
Venezuela
Aruba
Dominica
Antarctica
Brazil
Peru
Falkland Islands
Uruguay
Grenada
Jamaica
Curacao
Guatemala
Mexico
Bahamas
St. Lucia
Turks and Caicos
Dominican Republic
Guadeloupe
Chile
St. Kitts and Nevis
Suriname
Haiti
Sint Maarten
St. Vincent
El Salvador
Bermuda
Cayman Islands
Antigua and Barbuda
Belize
Nicaragua
Panama
North America Region:
Puerto Rico
Canada
United States
British Virgin Islands
American Samoa
US Minor Outlying Islands
Bonaire
Guam
US Virgin Islands
Europe, Middle East, and Africa:
Middle East, Turkey, and Africa:
Sierra Leone
Rwanda
Somalia
Gambia
Niger
Central African Republic
Yemen
Seychelles
Senegal
Malawi
Botswana
Nigeria
Uganda
Guinea
United Arab Emirates
Lebanon
Lesotho
South Sudan
St. Helena
Turkey
Guinea-Bissau
Bouvet Island
Jordan
Djibouti
Mauritania
Zimbabwe
Kenya
Sao Tome and Principe
Namibia
Mauritius
Equatorial Guinea
Reunion
Tanzania
Sudan
Congo
Oman
Mayotte
Western Sahara
Eritrea
South Africa
Iraq
Mozambique
Cote d'Ivoire
Tunisia
Cape Verde
Egypt
Libya
Burkina Faso
Comoros
Liberia
Benin
Ethiopia
Chad
Gabon
Mali
Ghana
Algeria
Burundi
Eswatini
Zambia
Cameroon
Bahrain
Saudi Arabia
Morocco
State of Palestine
Angola
Kuwait
Togo
Qatar
Congo (the Democratic Republic of the)
Madagascar
Central Eastern Europe:
Hungary
Poland
Albania
Estonia
Latvia
Czechia
Bosnia and Herzegovina
Lithuania
Serbia
Croatia
Montenegro
Romania
Bulgaria
Slovenia
Macedonia
Slovakia
Western European Union Region:
Vatican City
San Marino
France
Belgium
Jersey
French Southern Territories
Liechtenstein
Isle of Man
Switzerland
St. Pierre and Miquelon
Guernsey
Gibraltar
Monaco
Luxembourg
Northern European Union Region:
Faroe Islands
Sweden
Aland Islands
Norway
United Kingdom
Netherlands
Ireland
Iceland
Denmark
Greenland
Finland
Svalbard and Jan Mayen
Southern European Union Region:
Spain
Israel
Italy
Malta
Andorra
Cyprus
Portugal
Greece
Central European Region:
Austria
Germany
People's Republic of China:
People's Republic of China:
Mainland China
Hong Kong
Macao
Use Case
Artificial Intelligence : Medical imaging, Analysis and Diagnostics
Artificial Intelligence : Video Surveillance and Analytics
Product Inspection
Digital Security Surveillance
Situational Monitoring
Industry
Manufacturing : Industrial Automation
Government
Defense and Space
Health and Life Sciences : Medical Devices
Health and Life Sciences : Medical Imaging
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Founded in 1993, CAST continues to thrive as the longest-running — and most experienced — independent IP supplier. Our mission has been to provide proven, low-risk IP cores, under simple and flexible licensing terms, coupled with outstanding support. The years of work we have done to perfect IP reuse, improve IP quality standards, and refine sales and business practices yield a product line and a partner network that offer you a better IP experience, today and in the future. Proven, Low-Risk IP Our goal is to maximize IP benefits for our customers by delivering high-quality, easy-to-use, cost-effective solutions to real system development challenges. CAST quality standards are high, and all our IP undergoes rigorous verification and testing before it gets to you. We use industry-standard verification methodologies, develop and test prototypes, participate in industry collaboration plugfests, and more to ensure proper functioning and smooth integration. Our practices have been extensively tested and proven, as we have helped thousands of customers ship billions of units in hundreds of application areas. Simple, Flexible Licensing We help you get to work quickly, with fine-tuned project options and licensing terms that ensure smooth legal sign-off. Most CAST IP is available royalty-free, and is extremely cost-effective. Outstanding Support CAST IP comes with some of the best customer support in the industry. Our goal is to help make you successful, not just sell you IP, and we have the experience and resources to make that happen.
Jpeg-ls-e: Lossless & Near-lossless Jpeg-ls Encoder
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