Computational photography takes a swarm of data from images or image sensors and combines it algorithmically to produce a photo that would be impossible to capture with film photography or digital photography in its more conventional form. The coming developments will allow 3D object capture, video capture and analysis for virtual reality and augmented reality, better real-time AR interaction, and even selfies that resemble you more closely. Computational photography is the process of capturing digital image and applies various processing techniques that use digital computation instead of optical processes. The computational photography is done using digital cameras and especially through smartphones that includes automated settings for making better point-and-shoot abilities.
This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images is undertaken over the entire term. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation.
The Global Computational Photography Market was valued at USD 1,250.4 million and is expected to reach USD 13,246.8 million in 2026, growing at a healthy CAGR of 32.7% for the forecast to 2026.
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Top Market Competitors: Computational Photography Market
- Sony Corporation,
- Affinity Media,
- DxO Lab,
- Qualcomm Technologies,
- NVIDIA Corporation
- Samsung Electronics,
- Pelican Imaging,
- HTC Corporation,
- ON Semiconductor,
- Nikon Corporation,
- Xperi Corporation,
- many more.
With a dedication and duty of incomparable dimension of versatility and incorporated methodologies, this Computational Photography Market research report has been organized. The report likewise puts a light on development opportunity appraisal, client experiences, competitive business knowledge, and distribution channel evaluation. The report analyzes the significant business patterns, market share, industry appraisals, and deals and income. The insights have been presented in a graphical manner for an unambiguous comprehension of statistical data points.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of The Report
Part 03: Global Computational Photography Market Landscape
Part 04: Global Computational Photography Market Sizing
Part 05: Global Computational Photography Market Segmentation by Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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- Rapidly increasing demand for digital still cameras with high resolution
- Adoption of computational photography in smartphone cameras
- The initial cost for a digital camera is usually higher
- Consumes more battery life
Segmentation: Computational Photography Market
- Smartphone Camera
- Standalone Camera
- Machine Vision
- Single- and Dual-Lens Cameras
- 16-Lens Cameras
- Camera Module
Competitive Analysis: Computational Photography Market
The global computational photography market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of computational photography market for global, Europe, North America, Asia Pacific, South America and Middle East & Africa.
- In 2015, Google, Inc. acquired Digester, a panoramic images provider start-up company. This acquisition enhanced Google’s customer experience with street view technology developed for Google Maps, by using 360-degree photography.
Key Insights in the report:
- Historical and current market size and projection up to 2025
- Market trends impacting the growth of the global computational photography market
- Analyze and forecast the computational photography market on the basis of type, application, offering
- Trends of key regional and country-level markets for type, application, offering.
- Company profiling of key players which includes business operations, product and services, geographic presence, recent developments and key financial analysis